diff --git a/.gitignore b/.gitignore
index 7cc17f30..b0f0933d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -20,3 +20,5 @@ myenv/
 launcher/config.yaml
 launcher/run.sh
 .direnv/
+*.warning
+*ipynb
diff --git a/datafiles/test_validation/case118.m/G_valid.txt b/datafiles/test_validation/case118.m/G_valid.txt
index 6264dd0b..0c33e612 100644
--- a/datafiles/test_validation/case118.m/G_valid.txt
+++ b/datafiles/test_validation/case118.m/G_valid.txt
@@ -1,237 +1,237 @@
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diff --git a/datafiles/test_validation/case118.m/Hess_valid.bin b/datafiles/test_validation/case118.m/Hess_valid.bin
index b902f68a..3de70591 100644
Binary files a/datafiles/test_validation/case118.m/Hess_valid.bin and b/datafiles/test_validation/case118.m/Hess_valid.bin differ
diff --git a/datafiles/test_validation/case118.m/Jeq_valid.bin b/datafiles/test_validation/case118.m/Jeq_valid.bin
index 93b98980..fd4f7a10 100644
Binary files a/datafiles/test_validation/case118.m/Jeq_valid.bin and b/datafiles/test_validation/case118.m/Jeq_valid.bin differ
diff --git a/datafiles/test_validation/case118.m/Lambda_valid.txt b/datafiles/test_validation/case118.m/Lambda_valid.txt
index 54fde11d..57fe02a7 100644
--- a/datafiles/test_validation/case118.m/Lambda_valid.txt
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diff --git a/datafiles/test_validation/case118.m/X_valid.txt b/datafiles/test_validation/case118.m/X_valid.txt
index a8fe7f58..d07a401b 100644
--- a/datafiles/test_validation/case118.m/X_valid.txt
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diff --git a/datafiles/test_validation/case118.m/grad_valid.txt b/datafiles/test_validation/case118.m/grad_valid.txt
index 5a54fea8..be26b7c8 100644
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diff --git a/datafiles/test_validation/case118.m/obj_value_valid.txt b/datafiles/test_validation/case118.m/obj_value_valid.txt
index 6baf451e..b2193628 100644
--- a/datafiles/test_validation/case118.m/obj_value_valid.txt
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diff --git a/datafiles/test_validation/case9mod.m/G_valid.txt b/datafiles/test_validation/case9mod.m/G_valid.txt
index e2e4c3c1..5dabfda3 100644
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diff --git a/datafiles/test_validation/case_ACTIVSg200.m/Gl_valid.txt b/datafiles/test_validation/case_ACTIVSg200.m/Gl_valid.txt
index d59990a7..fcbb97e9 100644
--- a/datafiles/test_validation/case_ACTIVSg200.m/Gl_valid.txt
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diff --git a/datafiles/test_validation/case_ACTIVSg200.m/Hess_valid.bin b/datafiles/test_validation/case_ACTIVSg200.m/Hess_valid.bin
index 1170318a..7d56bc8b 100644
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diff --git a/datafiles/test_validation/case_ACTIVSg200.m/Jeq_valid.bin b/datafiles/test_validation/case_ACTIVSg200.m/Jeq_valid.bin
index dbae8c0f..46d5da5f 100644
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diff --git a/datafiles/test_validation/case_ACTIVSg200.m/Jineq_valid.bin b/datafiles/test_validation/case_ACTIVSg200.m/Jineq_valid.bin
index 3cb19748..6bf1732c 100644
Binary files a/datafiles/test_validation/case_ACTIVSg200.m/Jineq_valid.bin and b/datafiles/test_validation/case_ACTIVSg200.m/Jineq_valid.bin differ
diff --git a/datafiles/test_validation/case_ACTIVSg200.m/Lambda_valid.txt b/datafiles/test_validation/case_ACTIVSg200.m/Lambda_valid.txt
index bfb66dc6..22a9453f 100644
--- a/datafiles/test_validation/case_ACTIVSg200.m/Lambda_valid.txt
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diff --git a/datafiles/test_validation/case_ACTIVSg200.m/X_valid.txt b/datafiles/test_validation/case_ACTIVSg200.m/X_valid.txt
index e30638b2..b7efa03b 100644
--- a/datafiles/test_validation/case_ACTIVSg200.m/X_valid.txt
+++ b/datafiles/test_validation/case_ACTIVSg200.m/X_valid.txt
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diff --git a/datafiles/test_validation/case_ACTIVSg200.m/grad_valid.txt b/datafiles/test_validation/case_ACTIVSg200.m/grad_valid.txt
index 4c8cb328..3d3b4540 100644
--- a/datafiles/test_validation/case_ACTIVSg200.m/grad_valid.txt
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diff --git a/datafiles/test_validation/case_ACTIVSg200.m/obj_value_valid.txt b/datafiles/test_validation/case_ACTIVSg200.m/obj_value_valid.txt
index b8f9eb90..6aebfcb6 100644
--- a/datafiles/test_validation/case_ACTIVSg200.m/obj_value_valid.txt
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diff --git a/datafiles/unit/opflow/objective/OF_unittestx3.m b/datafiles/unit/opflow/objective/testx3.m
similarity index 100%
rename from datafiles/unit/opflow/objective/OF_unittestx3.m
rename to datafiles/unit/opflow/objective/testx3.m
diff --git a/datafiles/unit/opflow/objective/OF_unittestx600.m b/datafiles/unit/opflow/objective/testx600.m
similarity index 100%
rename from datafiles/unit/opflow/objective/OF_unittestx600.m
rename to datafiles/unit/opflow/objective/testx600.m
diff --git a/docs/opflow/pbpol.md b/docs/opflow/pbpol.md
index 6524d640..59f40a7a 100644
--- a/docs/opflow/pbpol.md
+++ b/docs/opflow/pbpol.md
@@ -93,11 +93,11 @@ where the maximum flow,$`S^+_{ft}`$ is either the RATE_A (normal), RATE_B (short
 
 ```math
 \begin{aligned}
-\dfrac{\partial{C}}{\partial{P_{Gk}}} &= 2\alpha_kP_{Gk} + \beta_k \\
-\dfrac{\partial{C}}{\partial{\delta{P_{Dj}}}} &= 1 \\
-\dfrac{\partial{C}}{\partial{\delta{Q_{Dj}}}} &= 1 \\
-\dfrac{\partial{C}}{\partial{\delta{P_{i}}}} &= 2c_{\delta{S_i}}\delta{P_{i}} \\
-\dfrac{\partial{C}}{\partial{\delta{Q_{i}}}} &= 2c_{\delta{S_i}}\delta{Q_{i}}
+\frac{\partial{C}}{\partial{P_{Gk}}} &= 2\alpha_kP_{Gk} + \beta_k \\
+\frac{\partial{C}}{\partial{\delta{P_{Dj}}}} &= 1 \\
+\frac{\partial{C}}{\partial{\delta{Q_{Dj}}}} &= 1 \\
+\frac{\partial{C}}{\partial{\delta{P_{i}}}} &= 2c_{\delta{S_i}}\delta{P_{i}} \\
+\frac{\partial{C}}{\partial{\delta{Q_{i}}}} &= 2c_{\delta{S_i}}\delta{Q_{i}}
 \end{aligned}
 ```
 
@@ -109,18 +109,18 @@ where the maximum flow,$`S^+_{ft}`$ is either the RATE_A (normal), RATE_B (short
 
 ```math
 \begin{aligned}
-\dfrac{\partial{\Delta{P_f}}}{\partial{V_{f}}} &= \sum_{A_{br}(f,t) = 1} 2G_{ff}V_{f} + G_{ft}V_{t}\cos(\theta_{f}-\theta_t) + V_{t}B_{ft}\sin(\theta_{f}-\theta_t)\\
-\dfrac{\partial{\Delta{P_f}}}{\partial{V_{t}}} &= \sum_{A_{br}(f,t) = 1} V_{f}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))\\
-\dfrac{\partial{\Delta{P_f}}}{\partial{\theta_{f}}} &= \sum_{A_{br}(f,t) = 1} (-V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))\\
-\dfrac{\partial{\Delta{P_f}}}{\partial{\theta_{t}}} &= \sum_{A_{br}(f,t) = 1} (V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
+\frac{\partial{\Delta{P_f}}}{\partial{V_{f}}} &= \sum_{A_{br}(f,t) = 1} 2G_{ff}V_{f} + G_{ft}V_{t}\cos(\theta_{f}-\theta_t) + V_{t}B_{ft}\sin(\theta_{f}-\theta_t)\\
+\frac{\partial{\Delta{P_f}}}{\partial{V_{t}}} &= \sum_{A_{br}(f,t) = 1} V_{f}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))\\
+\frac{\partial{\Delta{P_f}}}{\partial{\theta_{f}}} &= \sum_{A_{br}(f,t) = 1} (-V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))\\
+\frac{\partial{\Delta{P_f}}}{\partial{\theta_{t}}} &= \sum_{A_{br}(f,t) = 1} (V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
 \end{aligned}
 ```
 ```math
 \begin{aligned}
-\dfrac{\partial{\Delta{Q_f}}}{\partial{V_{f}}} &= \sum_{A_{br}(f,t) = 1} -2B_{ff}V_{f} + G_{ft}V_{t}\sin(\theta_{f}-\theta_t) - V_{t}B_{ft}\cos(\theta_{f}-\theta_t)\\
-\dfrac{\partial{\Delta{Q_f}}}{\partial{V_{t}}} &= \sum_{A_{br}(f,t) = 1} V_{f}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t))\\
-\dfrac{\partial{\Delta{Q_f}}}{\partial{\theta_{f}}} &= \sum_{A_{br}(f,t) = 1} ( V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))\\
-\dfrac{\partial{\Delta{Q_f}}}{\partial{\theta_{t}}} &= \sum_{A_{br}(f,t) = 1} ( -V_{f}G_{ft}V_{t}\cos(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))
+\frac{\partial{\Delta{Q_f}}}{\partial{V_{f}}} &= \sum_{A_{br}(f,t) = 1} -2B_{ff}V_{f} + G_{ft}V_{t}\sin(\theta_{f}-\theta_t) - V_{t}B_{ft}\cos(\theta_{f}-\theta_t)\\
+\frac{\partial{\Delta{Q_f}}}{\partial{V_{t}}} &= \sum_{A_{br}(f,t) = 1} V_{f}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t))\\
+\frac{\partial{\Delta{Q_f}}}{\partial{\theta_{f}}} &= \sum_{A_{br}(f,t) = 1} ( V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))\\
+\frac{\partial{\Delta{Q_f}}}{\partial{\theta_{t}}} &= \sum_{A_{br}(f,t) = 1} ( -V_{f}G_{ft}V_{t}\cos(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))
 
 \end{aligned}
 ```
@@ -128,12 +128,12 @@ where the maximum flow,$`S^+_{ft}`$ is either the RATE_A (normal), RATE_B (short
 
 ```math
 \begin{aligned}
-\dfrac{\partial{\Delta{P_f}}}{\partial{P_{Gk}}} &= -1 \\
-\dfrac{\partial{\Delta{Q_f}}}{\partial{Q_{Gk}}} &= -1 \\
-\dfrac{\partial{\Delta{P_f}}}{\partial{\delta{P_{Dj}}}} &= -1 \\
-\dfrac{\partial{\Delta{Q_f}}}{\partial{\delta{Q_{Dj}}}} &= -1 \\
-\dfrac{\partial{\Delta{P_f}}}{\partial{\delta{P_{i}}}} &= 1 \\
-\dfrac{\partial{\Delta{Q_f}}}{\partial{\delta{Q_{i}}}} &= 1
+\frac{\partial{\Delta{P_f}}}{\partial{P_{Gk}}} &= -1 \\
+\frac{\partial{\Delta{Q_f}}}{\partial{Q_{Gk}}} &= -1 \\
+\frac{\partial{\Delta{P_f}}}{\partial{\delta{P_{Dj}}}} &= -1 \\
+\frac{\partial{\Delta{Q_f}}}{\partial{\delta{Q_{Dj}}}} &= -1 \\
+\frac{\partial{\Delta{P_f}}}{\partial{\delta{P_{i}}}} &= 1 \\
+\frac{\partial{\Delta{Q_f}}}{\partial{\delta{Q_{i}}}} &= 1
 \end{aligned}
 ```
 
@@ -141,59 +141,239 @@ where the maximum flow,$`S^+_{ft}`$ is either the RATE_A (normal), RATE_B (short
 ## Inequality constraint Jacobian
 
 ```math
-\begin{aligned}
-\dfrac{\partial{S^2_f}}{\partial{V_{f}}} &= \dfrac{\partial{S^2_f}}{\partial{P_f}}\dfrac{\partial{P_f}}{\partial{V_{f}}} 
-                                           + \dfrac{\partial{S^2_f}}{\partial{Q_f}}\dfrac{\partial{Q_f}}{\partial{V_{f}}}\\
-                                          &= 2P_f(2G_{ff}V_{f} + G_{ft}V_{t}\cos(\theta_{f}-\theta_t) + V_{t}B_{ft}\sin(\theta_{f}-\theta_t)) 
-                                          + 2Q_f(-2B_{ff}V_{f} + G_{ft}V_{t}\sin(\theta_{f}-\theta_t) - V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
-\end{aligned}
+\frac{\partial (S^2_f)}{\partial V_{f}} =
+2P_f(2G_{ff}V_{f} + G_{ft}V_{t}\cos(\theta_{f}-\theta_t) + V_{t}B_{ft}\sin(\theta_{f}-\theta_t))
++ 2Q_f(-2B_{ff}V_{f} + G_{ft}V_{t}\sin(\theta_{f}-\theta_t) - V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
 ```
-Similarly,
+
 ```math
-\begin{aligned}
-\dfrac{\partial{S^2_f}}{\partial{V_{t}}} &= 2P_f(V_{f}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t)) ) 
-                                                + 2Q_f(V_{f}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t)))\\
-\end{aligned}
+\frac{\partial (S^2_f)}{\partial V_{t}} =
+2P_f\big(V_{f}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))\big)
++ 2Q_f\big(V_{f}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t))\big)
 ```
+
 ```math
-\begin{aligned}
-\dfrac{\partial{S^2_t}}{\partial{V_f}} &= 2P_t(V_{t}(G_{tf}\cos(\theta_{t}-\theta_f) + B_{tf}\sin(\theta_{t}-\theta_f)) ) 
-                                                + 2Q_f(V_{t}(G_{tf}\sin(\theta_{t}-\theta_f) - B_{tf}\cos(\theta_{t}-\theta_f)))\\
-\end{aligned}
+\frac{\partial (S^2_t)}{\partial V_f} =
+2P_t\big(V_{t}(G_{tf}\cos(\theta_{t}-\theta_f) + B_{tf}\sin(\theta_{t}-\theta_f))\big)
++ 2Q_t\big(V_{t}(G_{tf}\sin(\theta_{t}-\theta_f) - B_{tf}\cos(\theta_{t}-\theta_f))\big)
 ```
+
 ```math
-\begin{aligned}
-\dfrac{\partial{S^2_t}}{\partial{V_t}} &= 2P_t(2G_{tt}V_{t} + G_{tf}V_{f}\cos(\theta_{t}-\theta_f) + V_{f}B_{tf}\sin(\theta_{t}-\theta_f)) 
-                                                + 2Q_t(-2B_{tt}V_{t} + G_{tf}V_{f}\sin(\theta_{t}-\theta_f) - V_{f}B_{tf}\cos(\theta_{t}-\theta_f))\\
-\end{aligned}
+\frac{\partial (S^2_t)}{\partial V_t} =
+2P_t(2G_{tt}V_{t} + G_{tf}V_{f}\cos(\theta_{t}-\theta_f) + V_{f}B_{tf}\sin(\theta_{t}-\theta_f))
++ 2Q_t(-2B_{tt}V_{t} + G_{tf}V_{f}\sin(\theta_{t}-\theta_f) - V_{f}B_{tf}\cos(\theta_{t}-\theta_f))
 ```
+
 ```math
-\begin{aligned}
-\dfrac{\partial{S^2_f}}{\partial{\theta_{f}}} &= \dfrac{\partial{S^2_f}}{\partial{P_f}}\dfrac{\partial{P_f}}{\partial{\theta_{f}}} 
-                                           + \dfrac{\partial{S^2_f}}{\partial{Q_f}}\dfrac{\partial{Q_f}}{\partial{\theta_{f}}}\\
-                                          &= 2P_f(-V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t)) 
-                                          + 2Q_f(V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))\\
-\end{aligned}
+\frac{\partial (S^2_f)}{\partial \theta_{f}} =
+2P_f(-V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
++ 2Q_f(V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))
 ```
-Similarly
+
 ```math
-\begin{aligned}
-\dfrac{\partial{S^2_f}}{\partial{\theta_t}} &= 2P_f(V_fV_tG_{ft}\sin(\theta_{f}-\theta_t) - V_fV_{t}B_{ft}\cos(\theta_{f}-\theta_t))
-                                                 + 2Q_f(-V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))\\
-\end{aligned}
+\frac{\partial (S^2_f)}{\partial \theta_t} =
+2P_f(V_fV_tG_{ft}\sin(\theta_{f}-\theta_t) - V_fV_{t}B_{ft}\cos(\theta_{f}-\theta_t))
++ 2Q_f(-V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t))
 ```
+
 ```math
-\begin{aligned}
-\dfrac{\partial{S^2_t}}{\partial{\theta_f}} &= 2P_t(V_{t}V_{f}G_{tf}\sin(\theta_{t}-\theta_f) - V_tV_{f}B_{tf}\cos(\theta_{t}-\theta_f))
-                                                 + 2Q_t(-V_{t}G_{tf}V_{f}\cos(\theta_{t}-\theta_f) - V_tV_{f}B_{tf}\sin(\theta_{t}-\theta_f))\\
-\end{aligned}
+\frac{\partial (S^2_t)}{\partial \theta_f} =
+2P_t(V_{t}V_{f}G_{tf}\sin(\theta_{t}-\theta_f) - V_tV_{f}B_{tf}\cos(\theta_{t}-\theta_f))
++ 2Q_t(-V_{t}V_{f}G_{tf}\cos(\theta_{t}-\theta_f) - V_tV_{f}B_{tf}\sin(\theta_{t}-\theta_f))
 ```
+
+```math
+\frac{\partial (S^2_t)}{\partial \theta_t} =
+2P_t(-V_{t}V_{f}G_{tf}\sin(\theta_{t}-\theta_f) + V_tV_{f}B_{tf}\cos(\theta_{t}-\theta_f))
++ 2Q_t(V_{t}V_{f}G_{tf}\cos(\theta_{t}-\theta_f) + V_tV_{f}B_{tf}\sin(\theta_{t}-\theta_f))
+```
+
+## Objective Hessian
+
 ```math
 \begin{aligned}
-\dfrac{\partial{S^2_t}}{\partial{\theta_t}} &= 2P_t(-V_{t}G_{tf}V_{f}\sin(\theta_{t}-\theta_f) + V_tV_{f}B_{tf}\cos(\theta_{t}-\theta_f))
-                                                 + 2Q_t(V_{t}G_{tf}V_{f}\cos(\theta_{t}-\theta_f) + V_tV_{f}B_{tf}\sin(\theta_{t}-\theta_f)))\\
+\frac{\partial{C}}{\partial{P_{Gk}}} &= 2\alpha_k\\
+\frac{\partial{C}}{\partial{\delta{P_{Dj}}}} &= 0 \\
+\frac{\partial{C}}{\partial{\delta{Q_{Dj}}}} &= 0 \\
+\frac{\partial{C}}{\partial{\delta{P_{i}}}} &= 2c_{\delta{S_i}}\\
+\frac{\partial{C}}{\partial{\delta{Q_{i}}}} &= 2c_{\delta{S_i}}
 \end{aligned}
 ```
-## Objective Hessian
+
+All mixed second derivatives are 0. This means this part of the Hessian is diagonal.
+
 ## Equality constraint Hessian
+### Real Power Derivatives ($P_f$)
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial V_{f}^2} = \sum_{A_{br}(f,t) = 1} 2G_{ff}
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial V_{t}^2} = 0
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial \theta_{f}^2} = \sum_{A_{br}(f,t) = 1} V_{f}V_{t}(-G_{ft}\cos(\theta_{f}-\theta_t) - B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial \theta_{t}^2} = \sum_{A_{br}(f,t) = 1} V_{f}V_{t}(-G_{ft}\cos(\theta_{f}-\theta_t) - B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial V_{f}\partial V_{t}} = \sum_{A_{br}(f,t) = 1} G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t)
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial V_{f}\partial \theta_{f}} = \sum_{A_{br}(f,t) = 1} V_{t}(-G_{ft}\sin(\theta_{f}-\theta_t) + B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial V_{f}\partial \theta_{t}} = \sum_{A_{br}(f,t) = 1} V_{t}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial V_{t}\partial \theta_{f}} = \sum_{A_{br}(f,t) = 1} V_{f}(-G_{ft}\sin(\theta_{f}-\theta_t) + B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial V_{t}\partial \theta_{t}} = \sum_{A_{br}(f,t) = 1} V_{f}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta P_f}{\partial \theta_{f}\partial \theta_{t}} = \sum_{A_{br}(f,t) = 1} V_{f}V_{t}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+---
+
+### Reactive Power Derivatives ($Q_f$)
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial V_{f}^2} = \sum_{A_{br}(f,t) = 1} -2B_{ff}
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial V_{t}^2} = 0
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial \theta_{f}^2} = \sum_{A_{br}(f,t) = 1} V_{f}V_{t}(-G_{ft}\sin(\theta_{f}-\theta_t) + B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial \theta_{t}^2} = \sum_{A_{br}(f,t) = 1} V_{f}V_{t}(-G_{ft}\sin(\theta_{f}-\theta_t) + B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial V_{f}\partial V_{t}} = \sum_{A_{br}(f,t) = 1} G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t)
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial V_{f}\partial \theta_{f}} = \sum_{A_{br}(f,t) = 1} V_{t}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial V_{f}\partial \theta_{t}} = \sum_{A_{br}(f,t) = 1} -V_{t}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial V_{t}\partial \theta_{f}} = \sum_{A_{br}(f,t) = 1} V_{f}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial V_{t}\partial \theta_{t}} = \sum_{A_{br}(f,t) = 1} -V_{f}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 \Delta Q_f}{\partial \theta_{f}\partial \theta_{t}} = \sum_{A_{br}(f,t) = 1} V_{f}V_{t}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t))
+$$
 ## Inequality constraint Hessian
+### Second Derivatives of $S_f^2$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial V_{f}^2} = 4P_fG_{ff} - 4Q_fB_{ff}
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial V_{f} \partial V_{t}} = 2P_f(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t)) + 2Q_f(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial V_{f} \partial \theta_{f}} = 2P_f(-V_{t}G_{ft}\sin(\theta_{f}-\theta_t) + V_{t}B_{ft}\cos(\theta_{f}-\theta_t)) + 2Q_f(V_{t}G_{ft}\cos(\theta_{f}-\theta_t) + V_{t}B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial V_{f} \partial \theta_{t}} = 2P_f(V_{t}G_{ft}\sin(\theta_{f}-\theta_t) - V_{t}B_{ft}\cos(\theta_{f}-\theta_t)) + 2Q_f(-V_{t}G_{ft}\cos(\theta_{f}-\theta_t) - V_{t}B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial V_{t}^2}
+= 0
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial V_{t} \partial \theta_{f}} = 2P_fV_{f}(-G_{ft}\sin(\theta_{f}-\theta_t) + B_{ft}\cos(\theta_{f}-\theta_t)) + 2Q_fV_{f}(G_{ft}\cos(\theta_{f}-\theta_t) + B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial V_{t} \partial \theta_{t}} = 2P_fV_{f}(G_{ft}\sin(\theta_{f}-\theta_t) - B_{ft}\cos(\theta_{f}-\theta_t)) + 2Q_fV_{f}(-G_{ft}\cos(\theta_{f}-\theta_t) - B_{ft}\sin(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial \theta_{f}^2} = 2P_f(-V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t)) + 2Q_f(-V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial \theta_{f} \partial \theta_{t}} = 2P_f(V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t)) + 2Q_f(V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+$$
+\frac{\partial^2 (S^2_f)}{\partial \theta_{t}^2} = 2P_f(-V_{f}V_{t}G_{ft}\cos(\theta_{f}-\theta_t) - V_{f}V_{t}B_{ft}\sin(\theta_{f}-\theta_t)) + 2Q_f(-V_{f}V_{t}G_{ft}\sin(\theta_{f}-\theta_t) + V_{f}V_{t}B_{ft}\cos(\theta_{f}-\theta_t))
+$$
+
+
+---
+
+### Second Derivatives of $S_t^2$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial V_{f}^2}
+= 0
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial V_{f} \partial V_{t}} = 2P_t(G_{tf}\cos(\theta_{t}-\theta_f) + B_{tf}\sin(\theta_{t}-\theta_f)) + 2Q_t(G_{tf}\sin(\theta_{t}-\theta_f) - B_{tf}\cos(\theta_{t}-\theta_f))
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial V_{f} \partial \theta_{f}} = 2P_tV_{t}(G_{tf}\sin(\theta_{t}-\theta_f) - B_{tf}\cos(\theta_{t}-\theta_f)) + 2Q_tV_{t}(-G_{tf}\cos(\theta_{t}-\theta_f) - B_{tf}\sin(\theta_{t}-\theta_f))
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial V_{f} \partial \theta_{t}} = 2P_tV_{t}(-G_{tf}\sin(\theta_{t}-\theta_f) + B_{tf}\cos(\theta_{t}-\theta_f)) + 2Q_tV_{t}(G_{tf}\cos(\theta_{t}-\theta_f) + B_{tf}\sin(\theta_{t}-\theta_f))
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial V_{t}^2} = 4P_tG_{tt} - 4Q_tB_{tt}
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial V_{t} \partial \theta_{f}} = 2P_tV_{f}(G_{tf}\sin(\theta_{t}-\theta_f) - B_{tf}\cos(\theta_{t}-\theta_f)) + 2Q_tV_{f}(-G_{tf}\cos(\theta_{t}-\theta_f) - B_{tf}\sin(\theta_{t}-\theta_f))
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial V_{t} \partial \theta_{t}} = 2P_tV_{f}(-G_{tf}\sin(\theta_{t}-\theta_f) + B_{tf}\cos(\theta_{t}-\theta_f)) + 2Q_tV_{f}(G_{tf}\cos(\theta_{t}-\theta_f) + B_{tf}\sin(\theta_{t}-\theta_f))
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial \theta_{f}^2} = 2P_t(-V_{t}V_{f}G_{tf}\cos(\theta_{t}-\theta_f) - V_{t}V_{f}B_{tf}\sin(\theta_{t}-\theta_f)) + 2Q_t(-V_{t}V_{f}G_{tf}\sin(\theta_{t}-\theta_f) + V_{t}V_{f}B_{tf}\cos(\theta_{t}-\theta_f))
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial \theta_{f} \partial \theta_{t}} = 2P_t(V_{t}V_{f}G_{tf}\cos(\theta_{t}-\theta_f) + V_{t}V_{f}B_{tf}\sin(\theta_{t}-\theta_f)) + 2Q_t(V_{t}V_{f}G_{tf}\sin(\theta_{t}-\theta_f) - V_{t}V_{f}B_{tf}\cos(\theta_{t}-\theta_f))
+$$
+
+$$
+\frac{\partial^2 (S^2_t)}{\partial \theta_{t}^2} = 2P_t(-V_{t}V_{f}G_{tf}\cos(\theta_{t}-\theta_f) - V_{t}V_{f}B_{tf}\sin(\theta_{t}-\theta_f)) + 2Q_t(-V_{t}V_{f}G_{tf}\sin(\theta_{t}-\theta_f) + V_{t}V_{f}B_{tf}\cos(\theta_{t}-\theta_f))
+$$
diff --git a/src/opflow/CMakeLists.txt b/src/opflow/CMakeLists.txt
index d0553657..863f45f4 100644
--- a/src/opflow/CMakeLists.txt
+++ b/src/opflow/CMakeLists.txt
@@ -20,6 +20,7 @@ if(EXAGO_ENABLE_RAJA)
     set(OPFLOW_FORM_SRC
         ${OPFLOW_FORM_SRC} model/power_bal_hiop/pbpolrajahiopsparse.cpp
         model/power_bal_hiop/pbpolrajahiopsparsekernels.cpp
+        model/power_bal_hiop/pbpolrajahiopsparse_gpu.cpp
     )
   endif()
 endif()
@@ -39,8 +40,8 @@ set_source_files_properties(${OPFLOW_SRC} PROPERTIES LANGUAGE CXX)
 if(EXAGO_ENABLE_RAJA AND EXAGO_ENABLE_CUDA)
   set_source_files_properties(
     model/power_bal_hiop/pbpolrajahiopkernels.cpp
-    model/power_bal_hiop/pbpolrajahiopsparsekernels.cpp PROPERTIES LANGUAGE
-                                                                   CUDA
+    model/power_bal_hiop/pbpolrajahiopsparsekernels.cpp
+    model/power_bal_hiop/pbpolrajahiopsparse_gpu.cpp PROPERTIES LANGUAGE CUDA
   )
 endif()
 
diff --git a/src/opflow/model/power_bal_hiop/paramsrajahiop.cpp b/src/opflow/model/power_bal_hiop/paramsrajahiop.cpp
index 6dffd9d3..4ff8581f 100644
--- a/src/opflow/model/power_bal_hiop/paramsrajahiop.cpp
+++ b/src/opflow/model/power_bal_hiop/paramsrajahiop.cpp
@@ -21,12 +21,19 @@ int BUSParamsRajaHiop::destroy(OPFLOW opflow) {
   h_allocator_.deallocate(bl);
   h_allocator_.deallocate(xidx);
   h_allocator_.deallocate(gidx);
+  h_allocator_.deallocate(eqjacsp_idx);
+  h_allocator_.deallocate(hesssp_eq_idx);
   if (opflow->include_powerimbalance_variables) {
     h_allocator_.deallocate(xidxpimb);
     h_allocator_.deallocate(powerimbalance_penalty);
     h_allocator_.deallocate(jacsp_idx);
     h_allocator_.deallocate(jacsq_idx);
   }
+  h_allocator_.deallocate(ispv);
+  h_allocator_.deallocate(gineqidx);
+  h_allocator_.deallocate(ineqjacsp_idx);
+  h_allocator_.deallocate(genoffset);
+  h_allocator_.deallocate(ngenONbus);
 
 #ifdef EXAGO_ENABLE_GPU
   d_allocator_.deallocate(isref_dev_);
@@ -40,12 +47,19 @@ int BUSParamsRajaHiop::destroy(OPFLOW opflow) {
   d_allocator_.deallocate(bl_dev_);
   d_allocator_.deallocate(xidx_dev_);
   d_allocator_.deallocate(gidx_dev_);
+  d_allocator_.deallocate(eqjacsp_idx_dev_);
+  d_allocator_.deallocate(hesssp_eq_idx_dev_);
   if (opflow->include_powerimbalance_variables) {
     d_allocator_.deallocate(xidxpimb_dev_);
     d_allocator_.deallocate(powerimbalance_penalty_dev_);
     d_allocator_.deallocate(jacsp_idx_dev_);
     d_allocator_.deallocate(jacsq_idx_dev_);
   }
+  d_allocator_.deallocate(ispv_dev_);
+  d_allocator_.deallocate(gineqidx_dev_);
+  d_allocator_.deallocate(ineqjacsp_idx_dev_);
+  d_allocator_.deallocate(genoffset_dev_);
+  d_allocator_.deallocate(ngenONbus_dev_);
 #endif
 
   return 0;
@@ -74,12 +88,19 @@ int BUSParamsRajaHiop::copy(OPFLOW opflow) {
 
   resmgr.copy(xidx_dev_, xidx);
   resmgr.copy(gidx_dev_, gidx);
+  resmgr.copy(eqjacsp_idx_dev_, eqjacsp_idx);
+  resmgr.copy(hesssp_eq_idx_dev_, hesssp_eq_idx);
   if (opflow->include_powerimbalance_variables) {
     resmgr.copy(xidxpimb_dev_, xidxpimb);
     resmgr.copy(jacsp_idx_dev_, jacsp_idx);
     resmgr.copy(jacsq_idx_dev_, jacsq_idx);
     resmgr.copy(powerimbalance_penalty_dev_, powerimbalance_penalty);
   }
+  resmgr.copy(ispv_dev_, ispv);
+  resmgr.copy(gineqidx_dev_, gineqidx);
+  resmgr.copy(ineqjacsp_idx_dev_, ineqjacsp_idx);
+  resmgr.copy(genoffset_dev_, genoffset);
+  resmgr.copy(ngenONbus_dev_, ngenONbus);
 #else
   isref_dev_ = isref;
   isisolated_dev_ = isisolated;
@@ -93,9 +114,16 @@ int BUSParamsRajaHiop::copy(OPFLOW opflow) {
   xidx_dev_ = xidx;
   xidxpimb_dev_ = xidxpimb;
   gidx_dev_ = gidx;
+  eqjacsp_idx_dev_ = eqjacsp_idx;
+  hesssp_eq_idx_dev_ = hesssp_eq_idx;
   jacsp_idx_dev_ = jacsp_idx;
   jacsq_idx_dev_ = jacsq_idx;
   powerimbalance_penalty_dev_ = powerimbalance_penalty;
+  ispv_dev_ = ispv;
+  gineqidx_dev_ = gineqidx;
+  ineqjacsp_idx_dev_ = ineqjacsp_idx;
+  genoffset_dev_ = genoffset;
+  ngenONbus_dev_ = ngenONbus;
 #endif
   return 0;
 }
@@ -125,6 +153,8 @@ int BUSParamsRajaHiop::allocate(OPFLOW opflow) {
 
   xidx = paramAlloc<int>(h_allocator_, nbus);
   gidx = paramAlloc<int>(h_allocator_, nbus);
+  eqjacsp_idx = paramAlloc<int>(h_allocator_, 2 * nbus);
+  hesssp_eq_idx = paramAlloc<int>(h_allocator_, nbus);
 
   if (opflow->include_powerimbalance_variables) {
     xidxpimb = paramAlloc<int>(h_allocator_, nbus);
@@ -132,18 +162,31 @@ int BUSParamsRajaHiop::allocate(OPFLOW opflow) {
     jacsp_idx = paramAlloc<int>(h_allocator_, nbus);
     jacsq_idx = paramAlloc<int>(h_allocator_, nbus);
   }
+  ispv = paramAlloc<int>(h_allocator_, nbus);
+  gineqidx = paramAlloc<int>(h_allocator_, nbus);
+  ineqjacsp_idx = paramAlloc<int>(h_allocator_, nbus);
+  genoffset = paramAlloc<int>(h_allocator_, nbus);
+  ngenONbus = paramAlloc<int>(h_allocator_, nbus);
 
   /* Memzero arrays */
   resmgr.memset(isref, 0, nbus * sizeof(int));
   resmgr.memset(ispvpq, 0, nbus * sizeof(int));
   resmgr.memset(isisolated, 0, nbus * sizeof(int));
+  resmgr.memset(ispv, 0, nbus * sizeof(int));
+  resmgr.memset(gineqidx, 0, nbus * sizeof(int));
+  resmgr.memset(ineqjacsp_idx, 0, nbus * sizeof(int));
+  resmgr.memset(genoffset, 0, nbus * sizeof(int));
+  resmgr.memset(ngenONbus, 0, nbus * sizeof(int));
 
+  int genoff = 0;
   for (int i = 0; i < nbus; i++) {
     bus = &ps->bus[i];
     loc = bus->startxVloc;
 
     xidx[i] = opflow->idxn2sd_map[loc];
     gidx[i] = bus->starteqloc;
+    genoffset[i] = genoff;
+    genoff += bus->ngenON;
 
     if (bus->ide == REF_BUS)
       isref[i] = 1;
@@ -152,6 +195,12 @@ int BUSParamsRajaHiop::allocate(OPFLOW opflow) {
     else
       ispvpq[i] = 1;
 
+    if (bus->ide == PV_BUS)
+      ispv[i] = 1;
+
+    ngenONbus[i] = bus->ngenON;
+    gineqidx[i] = bus->startineqloc;
+
     if (opflow->genbusvoltagetype == FIXED_AT_SETPOINT) {
       if (bus->ide == REF_BUS || bus->ide == PV_BUS) {
         /* Hold voltage at reference and PV buses */
@@ -193,6 +242,8 @@ int BUSParamsRajaHiop::allocate(OPFLOW opflow) {
 
   xidx_dev_ = paramAlloc<int>(d_allocator_, nbus);
   gidx_dev_ = paramAlloc<int>(d_allocator_, nbus);
+  eqjacsp_idx_dev_ = paramAlloc<int>(d_allocator_, 2 * nbus);
+  hesssp_eq_idx_dev_ = paramAlloc<int>(d_allocator_, nbus);
 
   if (opflow->include_powerimbalance_variables) {
     xidxpimb_dev_ = paramAlloc<int>(d_allocator_, nbus);
@@ -200,6 +251,11 @@ int BUSParamsRajaHiop::allocate(OPFLOW opflow) {
     jacsp_idx_dev_ = paramAlloc<int>(d_allocator_, nbus);
     jacsq_idx_dev_ = paramAlloc<int>(d_allocator_, nbus);
   }
+  ispv_dev_ = paramAlloc<int>(d_allocator_, nbus);
+  gineqidx_dev_ = paramAlloc<int>(d_allocator_, nbus);
+  ineqjacsp_idx_dev_ = paramAlloc<int>(d_allocator_, nbus);
+  genoffset_dev_ = paramAlloc<int>(d_allocator_, nbus);
+  ngenONbus_dev_ = paramAlloc<int>(d_allocator_, nbus);
 #endif
   return 0;
 }
@@ -231,7 +287,14 @@ int LINEParamsRajaHiop::copy(OPFLOW opflow) {
     resmgr.copy(gineqidx_dev_, gineqidx);
     resmgr.copy(gbineqidx_dev_, gbineqidx);
     resmgr.copy(linelimidx_dev_, linelimidx);
+    resmgr.copy(ineqjacsp_idx_dev_, ineqjacsp_idx);
+    resmgr.copy(hesssp_ineq_idx_dev_, hesssp_ineq_idx);
+    resmgr.copy(xslackidx_dev_, xslackidx);
   }
+  resmgr.copy(eqjacsp_idx_dev_, eqjacsp_idx);
+  resmgr.copy(eqjacsp_diag_idx_dev_, eqjacsp_diag_idx);
+  resmgr.copy(hesssp_eq_idx_dev_, hesssp_eq_idx);
+  resmgr.copy(isdcline_dev_, isdcline);
 #else
   Gff_dev_ = Gff;
   Bff_dev_ = Bff;
@@ -250,7 +313,14 @@ int LINEParamsRajaHiop::copy(OPFLOW opflow) {
     gineqidx_dev_ = gineqidx;
     gbineqidx_dev_ = gbineqidx;
     linelimidx_dev_ = linelimidx;
+    ineqjacsp_idx_dev_ = ineqjacsp_idx;
+    hesssp_ineq_idx_dev_ = hesssp_ineq_idx;
+    xslackidx_dev_ = xslackidx;
   }
+  eqjacsp_idx_dev_ = eqjacsp_idx;
+  eqjacsp_diag_idx_dev_ = eqjacsp_diag_idx;
+  hesssp_eq_idx_dev_ = hesssp_eq_idx;
+  isdcline_dev_ = isdcline;
 #endif
   return 0;
 }
@@ -277,7 +347,14 @@ int LINEParamsRajaHiop::destroy(OPFLOW opflow) {
     h_allocator_.deallocate(gineqidx);
     h_allocator_.deallocate(gbineqidx);
     h_allocator_.deallocate(linelimidx);
+    h_allocator_.deallocate(ineqjacsp_idx);
+    h_allocator_.deallocate(hesssp_ineq_idx);
+    h_allocator_.deallocate(xslackidx);
   }
+  h_allocator_.deallocate(eqjacsp_idx);
+  h_allocator_.deallocate(eqjacsp_diag_idx);
+  h_allocator_.deallocate(hesssp_eq_idx);
+  h_allocator_.deallocate(isdcline);
 
 #ifdef EXAGO_ENABLE_GPU
   // Destroy parameter arrays on the device
@@ -301,7 +378,14 @@ int LINEParamsRajaHiop::destroy(OPFLOW opflow) {
     d_allocator_.deallocate(gineqidx_dev_);
     d_allocator_.deallocate(gbineqidx_dev_);
     d_allocator_.deallocate(linelimidx_dev_);
+    d_allocator_.deallocate(ineqjacsp_idx_dev_);
+    d_allocator_.deallocate(hesssp_ineq_idx_dev_);
+    d_allocator_.deallocate(xslackidx_dev_);
   }
+  d_allocator_.deallocate(eqjacsp_idx_dev_);
+  d_allocator_.deallocate(eqjacsp_diag_idx_dev_);
+  d_allocator_.deallocate(hesssp_eq_idx_dev_);
+  d_allocator_.deallocate(isdcline_dev_);
 #endif
 
   return 0;
@@ -347,8 +431,16 @@ int LINEParamsRajaHiop::allocate(OPFLOW opflow) {
     linelimidx = paramAlloc<int>(h_allocator_, nlinelim);
     gineqidx = paramAlloc<int>(h_allocator_, nlinelim);
     gbineqidx = paramAlloc<int>(h_allocator_, nlinelim);
+    ineqjacsp_idx = paramAlloc<int>(h_allocator_, nlinelim);
+    hesssp_ineq_idx = paramAlloc<int>(h_allocator_, 10 * nlinelim);
+    xslackidx = paramAlloc<int>(h_allocator_, nlinelim);
   }
 
+  eqjacsp_idx = paramAlloc<int>(h_allocator_, nlineON);
+  eqjacsp_diag_idx = paramAlloc<int>(h_allocator_, 4 * nlineON);
+  hesssp_eq_idx = paramAlloc<int>(h_allocator_, 10 * nlineON);
+  isdcline = paramAlloc<int>(h_allocator_, nlineON);
+
   PetscInt j = 0;
   /* Populate arrays */
   for (i = 0; i < ps->nline; i++) {
@@ -390,9 +482,13 @@ int LINEParamsRajaHiop::allocate(OPFLOW opflow) {
       gbineqidx[j] = opflow->nconeq + line->startineqloc;
       gineqidx[j] = line->startineqloc;
       linelimidx[j] = linei;
+      if (opflow->allow_lineflow_violation) {
+        xslackidx[j] = opflow->idxn2sd_map[line->startxslackloc];
+      }
       j++;
     }
 
+    isdcline[linei] = (int)line->isdcline;
     linei++;
   }
 
@@ -419,7 +515,15 @@ int LINEParamsRajaHiop::allocate(OPFLOW opflow) {
     gineqidx_dev_ = paramAlloc<int>(d_allocator_, nlinelim);
     gbineqidx_dev_ = paramAlloc<int>(d_allocator_, nlinelim);
     linelimidx_dev_ = paramAlloc<int>(d_allocator_, nlinelim);
+    ineqjacsp_idx_dev_ = paramAlloc<int>(d_allocator_, nlinelim);
+    hesssp_ineq_idx_dev_ = paramAlloc<int>(d_allocator_, 10 * nlinelim);
+    xslackidx_dev_ = paramAlloc<int>(d_allocator_, nlinelim);
   }
+
+  eqjacsp_idx_dev_ = paramAlloc<int>(d_allocator_, nlineON);
+  eqjacsp_diag_idx_dev_ = paramAlloc<int>(d_allocator_, 4 * nlineON);
+  hesssp_eq_idx_dev_ = paramAlloc<int>(d_allocator_, 10 * nlineON);
+  isdcline_dev_ = paramAlloc<int>(d_allocator_, nlineON);
 #endif
   return 0;
 }
@@ -438,7 +542,7 @@ int LOADParamsRajaHiop::copy(OPFLOW opflow) {
   if (opflow->include_loadloss_variables) {
     resmgr.copy(jacsp_idx_dev_, jacsp_idx);
     resmgr.copy(jacsq_idx_dev_, jacsq_idx);
-    resmgr.copy(hesssp_idx_dev_, hesssp_idx);
+    resmgr.copy(hesssp_obj_idx_dev_, hesssp_obj_idx);
     resmgr.copy(loadloss_penalty_dev_, loadloss_penalty);
   }
 #else
@@ -448,7 +552,7 @@ int LOADParamsRajaHiop::copy(OPFLOW opflow) {
   gidx_dev_ = gidx;
   jacsp_idx_dev_ = jacsp_idx;
   jacsq_idx_dev_ = jacsq_idx;
-  hesssp_idx_dev_ = hesssp_idx;
+  hesssp_obj_idx_dev_ = hesssp_obj_idx;
   loadloss_penalty_dev_ = loadloss_penalty;
 #endif
 
@@ -464,7 +568,7 @@ int LOADParamsRajaHiop::destroy(OPFLOW opflow) {
     h_allocator_.deallocate(loadloss_penalty);
     h_allocator_.deallocate(jacsp_idx);
     h_allocator_.deallocate(jacsq_idx);
-    h_allocator_.deallocate(hesssp_idx);
+    h_allocator_.deallocate(hesssp_obj_idx);
   }
 #ifdef EXAGO_ENABLE_GPU
   d_allocator_.deallocate(pl_dev_);
@@ -475,7 +579,7 @@ int LOADParamsRajaHiop::destroy(OPFLOW opflow) {
     d_allocator_.deallocate(loadloss_penalty_dev_);
     d_allocator_.deallocate(jacsp_idx_dev_);
     d_allocator_.deallocate(jacsq_idx_dev_);
-    d_allocator_.deallocate(hesssp_idx_dev_);
+    d_allocator_.deallocate(hesssp_obj_idx_dev_);
   }
 #endif
   return 0;
@@ -507,7 +611,7 @@ int LOADParamsRajaHiop::allocate(OPFLOW opflow) {
     loadloss_penalty = paramAlloc<double>(h_allocator_, nload);
     jacsp_idx = paramAlloc<int>(h_allocator_, nload);
     jacsq_idx = paramAlloc<int>(h_allocator_, nload);
-    hesssp_idx = paramAlloc<int>(h_allocator_, nload);
+    hesssp_obj_idx = paramAlloc<int>(h_allocator_, nload);
   }
   /* Insert data in loadparams */
   for (i = 0; i < ps->nbus; i++) {
@@ -539,7 +643,7 @@ int LOADParamsRajaHiop::allocate(OPFLOW opflow) {
     loadloss_penalty_dev_ = paramAlloc<double>(d_allocator_, nload);
     jacsp_idx_dev_ = paramAlloc<int>(d_allocator_, nload);
     jacsq_idx_dev_ = paramAlloc<int>(d_allocator_, nload);
-    hesssp_idx_dev_ = paramAlloc<int>(d_allocator_, nload);
+    hesssp_obj_idx_dev_ = paramAlloc<int>(d_allocator_, nload);
   }
 
 #endif
@@ -557,11 +661,15 @@ int GENParamsRajaHiop::destroy(OPFLOW opflow) {
   h_allocator_.deallocate(qt);
   h_allocator_.deallocate(qb);
   h_allocator_.deallocate(isrenewable);
+  h_allocator_.deallocate(apf);
+  h_allocator_.deallocate(vs);
   h_allocator_.deallocate(xidx);
+  h_allocator_.deallocate(xpdevidx);
+  h_allocator_.deallocate(xpsetidx);
   h_allocator_.deallocate(gidxbus);
   h_allocator_.deallocate(eqjacspbus_idx);
   h_allocator_.deallocate(eqjacsqbus_idx);
-  h_allocator_.deallocate(hesssp_idx);
+  h_allocator_.deallocate(hesssp_obj_idx);
   if (opflow->has_gensetpoint) {
     h_allocator_.deallocate(geqidxgen);
     h_allocator_.deallocate(gineqidxgen);
@@ -569,6 +677,7 @@ int GENParamsRajaHiop::destroy(OPFLOW opflow) {
     h_allocator_.deallocate(pgs);
     h_allocator_.deallocate(eqjacspgen_idx);
     h_allocator_.deallocate(ineqjacspgen_idx);
+    h_allocator_.deallocate(hesssp_ineq_idx);
   }
 #ifdef EXAGO_ENABLE_GPU
   // Free arrays on the device
@@ -580,11 +689,15 @@ int GENParamsRajaHiop::destroy(OPFLOW opflow) {
   d_allocator_.deallocate(qt_dev_);
   d_allocator_.deallocate(qb_dev_);
   d_allocator_.deallocate(isrenewable_dev_);
+  d_allocator_.deallocate(apf_dev_);
+  d_allocator_.deallocate(vs_dev_);
   d_allocator_.deallocate(xidx_dev_);
+  d_allocator_.deallocate(xpdevidx_dev_);
+  d_allocator_.deallocate(xpsetidx_dev_);
   d_allocator_.deallocate(gidxbus_dev_);
   d_allocator_.deallocate(eqjacspbus_idx_dev_);
   d_allocator_.deallocate(eqjacsqbus_idx_dev_);
-  d_allocator_.deallocate(hesssp_idx_dev_);
+  d_allocator_.deallocate(hesssp_obj_idx_dev_);
   if (opflow->has_gensetpoint) {
     d_allocator_.deallocate(geqidxgen_dev_);
     d_allocator_.deallocate(gineqidxgen_dev_);
@@ -592,6 +705,7 @@ int GENParamsRajaHiop::destroy(OPFLOW opflow) {
     d_allocator_.deallocate(pgs_dev_);
     d_allocator_.deallocate(eqjacspgen_idx_dev_);
     d_allocator_.deallocate(ineqjacspgen_idx_dev_);
+    d_allocator_.deallocate(hesssp_ineq_idx_dev_);
   }
 
 #endif
@@ -614,19 +728,24 @@ int GENParamsRajaHiop::copy(OPFLOW opflow) {
   resmgr.copy(qt_dev_, qt);
   resmgr.copy(qb_dev_, qb);
   resmgr.copy(isrenewable_dev_, isrenewable);
+  resmgr.copy(apf_dev_, apf);
+  resmgr.copy(vs_dev_, vs);
 
   resmgr.copy(xidx_dev_, xidx);
+  resmgr.copy(xpdevidx_dev_, xpdevidx);
+  resmgr.copy(xpsetidx_dev_, xpsetidx);
   resmgr.copy(gidxbus_dev_, gidxbus);
 
   resmgr.copy(eqjacspbus_idx_dev_, eqjacspbus_idx);
   resmgr.copy(eqjacsqbus_idx_dev_, eqjacsqbus_idx);
-  resmgr.copy(hesssp_idx_dev_, hesssp_idx);
+  resmgr.copy(hesssp_obj_idx_dev_, hesssp_obj_idx);
   if (opflow->has_gensetpoint) {
     resmgr.copy(geqidxgen_dev_, geqidxgen);
     resmgr.copy(gineqidxgen_dev_, gineqidxgen);
     resmgr.copy(gbineqidxgen_dev_, gbineqidxgen);
     resmgr.copy(eqjacspgen_idx_dev_, eqjacspgen_idx);
     resmgr.copy(ineqjacspgen_idx_dev_, ineqjacspgen_idx);
+    resmgr.copy(hesssp_ineq_idx_dev_, hesssp_ineq_idx);
     resmgr.copy(pgs_dev_, pgs);
   }
 #else
@@ -638,16 +757,21 @@ int GENParamsRajaHiop::copy(OPFLOW opflow) {
   qt_dev_ = qt;
   qb_dev_ = qb;
   isrenewable_dev_ = isrenewable;
+  apf_dev_ = apf;
+  vs_dev_ = vs;
   xidx_dev_ = xidx;
+  xpdevidx_dev_ = xpdevidx;
+  xpsetidx_dev_ = xpsetidx;
   gidxbus_dev_ = gidxbus;
   eqjacspbus_idx_dev_ = eqjacspbus_idx;
   eqjacsqbus_idx_dev_ = eqjacsqbus_idx;
-  hesssp_idx_dev_ = hesssp_idx;
+  hesssp_obj_idx_dev_ = hesssp_obj_idx;
   geqidxgen_dev_ = geqidxgen;
   gineqidxgen_dev_ = gineqidxgen;
   gbineqidxgen_dev_ = gbineqidxgen;
   eqjacspgen_idx_dev_ = eqjacspgen_idx;
   ineqjacspgen_idx_dev_ = ineqjacspgen_idx;
+  hesssp_ineq_idx_dev_ = hesssp_ineq_idx;
   pgs_dev_ = pgs;
 #endif
   return 0;
@@ -679,13 +803,17 @@ int GENParamsRajaHiop::allocate(OPFLOW opflow) {
   qt = paramAlloc<double>(h_allocator_, ngenON);
   qb = paramAlloc<double>(h_allocator_, ngenON);
   isrenewable = paramAlloc<int>(h_allocator_, ngenON);
+  apf = paramAlloc<double>(h_allocator_, ngenON);
+  vs = paramAlloc<double>(h_allocator_, ngenON);
 
   xidx = paramAlloc<int>(h_allocator_, ngenON);
+  xpdevidx = paramAlloc<int>(h_allocator_, ngenON);
+  xpsetidx = paramAlloc<int>(h_allocator_, ngenON);
   gidxbus = paramAlloc<int>(h_allocator_, ngenON);
 
   eqjacspbus_idx = paramAlloc<int>(h_allocator_, ngenON);
   eqjacsqbus_idx = paramAlloc<int>(h_allocator_, ngenON);
-  hesssp_idx = paramAlloc<int>(h_allocator_, ngenON);
+  hesssp_obj_idx = paramAlloc<int>(h_allocator_, ngenON);
 
   if (opflow->has_gensetpoint) {
     geqidxgen = paramAlloc<int>(h_allocator_, ngenON);
@@ -693,6 +821,7 @@ int GENParamsRajaHiop::allocate(OPFLOW opflow) {
     gbineqidxgen = paramAlloc<int>(h_allocator_, ngenON);
     eqjacspgen_idx = paramAlloc<int>(h_allocator_, ngenON);
     ineqjacspgen_idx = paramAlloc<int>(h_allocator_, ngenON);
+    hesssp_ineq_idx = paramAlloc<int>(h_allocator_, 3 * ngenON);
     pgs = paramAlloc<double>(h_allocator_, ngenON);
   }
 
@@ -717,11 +846,20 @@ int GENParamsRajaHiop::allocate(OPFLOW opflow) {
       qt[geni] = gen->qt;
       qb[geni] = gen->qb;
       isrenewable[geni] = (int)gen->isrenewable;
+      apf[geni] = gen->apf;
+      vs[geni] = gen->vs;
       if (opflow->has_gensetpoint) {
         pgs[geni] = gen->pgs;
+        if (!gen->isrenewable) {
+          xpdevidx[geni] = opflow->idxn2sd_map[gen->startxpdevloc];
+          xpsetidx[geni] = opflow->idxn2sd_map[gen->startxpsetloc];
+        }
       }
 
       xidx[geni] = opflow->idxn2sd_map[loc];
+      xpdevidx[geni] = (opflow->has_gensetpoint && !gen->isrenewable)
+                           ? opflow->idxn2sd_map[gen->startxpdevloc]
+                           : -1;
       gidxbus[geni] = gloc;
       if (opflow->has_gensetpoint) {
         geqidxgen[geni] = gen->starteqloc;
@@ -745,19 +883,24 @@ int GENParamsRajaHiop::allocate(OPFLOW opflow) {
   qt_dev_ = paramAlloc<double>(d_allocator_, ngenON);
   qb_dev_ = paramAlloc<double>(d_allocator_, ngenON);
   isrenewable_dev_ = paramAlloc<int>(d_allocator_, ngenON);
+  apf_dev_ = paramAlloc<double>(d_allocator_, ngenON);
+  vs_dev_ = paramAlloc<double>(d_allocator_, ngenON);
 
   xidx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
+  xpdevidx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
+  xpsetidx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
   gidxbus_dev_ = paramAlloc<int>(d_allocator_, ngenON);
 
   eqjacspbus_idx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
   eqjacsqbus_idx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
-  hesssp_idx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
+  hesssp_obj_idx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
   if (opflow->has_gensetpoint) {
     geqidxgen_dev_ = paramAlloc<int>(d_allocator_, ngenON);
     gineqidxgen_dev_ = paramAlloc<int>(d_allocator_, ngenON);
     gbineqidxgen_dev_ = paramAlloc<int>(d_allocator_, ngenON);
     eqjacspgen_idx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
     ineqjacspgen_idx_dev_ = paramAlloc<int>(d_allocator_, ngenON);
+    hesssp_ineq_idx_dev_ = paramAlloc<int>(d_allocator_, 3 * ngenON);
     pgs_dev_ = paramAlloc<double>(d_allocator_, ngenON);
   }
 #endif
@@ -778,19 +921,21 @@ void PbpolModelRajaHiop::destroy(OPFLOW opflow) {
 
     auto &resmgr = umpire::ResourceManager::getInstance();
     umpire::Allocator h_allocator_ = resmgr.getAllocator("HOST");
+    umpire::Allocator d_allocator_ = resmgr.getAllocator("DEVICE");
 
     h_allocator_.deallocate(i_jaceq);
     h_allocator_.deallocate(j_jaceq);
-    h_allocator_.deallocate(val_jaceq);
+    h_allocator_.deallocate(perm_jaceq);
+    d_allocator_.deallocate(perm_jaceq_dev);
 
     h_allocator_.deallocate(i_hess);
     h_allocator_.deallocate(j_hess);
-    h_allocator_.deallocate(val_hess);
+    h_allocator_.deallocate(perm_hess);
+    d_allocator_.deallocate(perm_hess_dev);
 
     if (opflow->nconineq) {
       h_allocator_.deallocate(i_jacineq);
       h_allocator_.deallocate(j_jacineq);
-      h_allocator_.deallocate(val_jacineq);
     }
   }
 #endif
diff --git a/src/opflow/model/power_bal_hiop/paramsrajahiop.h b/src/opflow/model/power_bal_hiop/paramsrajahiop.h
index 91f1fb9f..087708fb 100644
--- a/src/opflow/model/power_bal_hiop/paramsrajahiop.h
+++ b/src/opflow/model/power_bal_hiop/paramsrajahiop.h
@@ -17,18 +17,27 @@ struct BUSParamsRajaHiop {
   double *powerimbalance_penalty; /* Penalty for power imbalance */
   double *vmin;                   /* min. voltage magnitude limit */
   double *vmax;                   /* max. voltage magnitude limit */
-  double *va;      /* bus angle (from file only used in bounds) */
-  double *vm;      /* bus voltage magnitude (from file only used in bounds) */
-  double *gl;      /* bus shunt (conductance) */
-  double *bl;      /* bus shunt (suspectance) */
-  int *xidx;       /* starting locations for bus variables in X vector */
-  int *xidxpimb;   /* starting locations for power imbalance bus variables in X
-                      vector */
-  int *gidx;       /* starting locations for bus balance equations in constraint
-                      vector */
-  int *jacsp_idx;  /* Location number in the sparse Jacobian for Pimb */
-  int *jacsq_idx;  /* Location number in the sparse Jacobian for Qimb */
-  int *hesssp_idx; /* Location number in the Hessian */
+  double *va;     /* bus angle (from file only used in bounds) */
+  double *vm;     /* bus voltage magnitude (from file only used in bounds) */
+  double *gl;     /* bus shunt (conductance) */
+  double *bl;     /* bus shunt (suspectance) */
+  int *xidx;      /* starting locations for bus variables in X vector */
+  int *xidxpimb;  /* starting locations for power imbalance bus variables in X
+                     vector */
+  int *gidx;      /* starting locations for bus balance equations in constraint
+                     vector */
+  int *jacsp_idx; /* Location number in the sparse Jacobian for Pimb */
+  int *jacsq_idx; /* Location number in the sparse Jacobian for Qimb */
+  int *hesssp_eq_idx;   /* Equality constraints Hessian indices */
+  int *hesssp_ineq_idx; /* Inequality constraints Hessian indices */
+  int *hesssp_obj_idx;  /* Objective Hessian indices */
+  int *eqjacsp_idx;     /* Flat-array position for bus self-admittance in eq
+                           Jacobian. [2*i] = P-row base, [2*i+1] = Q-row base */
+  int *ispv;            /* KS: ispv[i] = 1 if bus is PV bus */
+  int *gineqidx;        /* KS: starting position of bus ineq constraints */
+  int *ineqjacsp_idx;   /* KS: index in flat sparse ineq Jacobian array */
+  int *genoffset;       /* KS: Offset into flattened gen array for this bus */
+  int *ngenONbus;       /* KS: Number of ON generators on this bus */
 
   // Device data
   int *isref_dev_;      /* isref[i] = 1 if bus is reference bus */
@@ -46,9 +55,17 @@ struct BUSParamsRajaHiop {
                          X vector */
   int *gidx_dev_; /* starting locations for bus balance equations in constraint
                      vector */
-  int *jacsp_idx_dev_;  /* Location number in the sparse Jacobian for Pimb */
-  int *jacsq_idx_dev_;  /* Location number in the sparse Jacobian for Qimb */
-  int *hesssp_idx_dev_; /* Location number in the Hessian */
+  int *jacsp_idx_dev_;     /* Location number in the sparse Jacobian for Pimb */
+  int *jacsq_idx_dev_;     /* Location number in the sparse Jacobian for Qimb */
+  int *hesssp_eq_idx_dev_; /* device counterpart of hesssp_eq_idx */
+  int *hesssp_ineq_idx_dev_; /* device counterpart of hesssp_ineq_idx */
+  int *hesssp_obj_idx_dev_;  /* device counterpart of hesssp_obj_idx */
+  int *eqjacsp_idx_dev_;     /* device counterpart of eqjacsp_idx*/
+  int *ispv_dev_;            /* device counterpart of ispv */
+  int *gineqidx_dev_;        /* device counterpart of gineqidx */
+  int *ineqjacsp_idx_dev_;   /* device counterpart of ineqjacsp_idx_ */
+  int *genoffset_dev_;       /* device counterpart of genoffset */
+  int *ngenONbus_dev_;       /* device counterpart of ngenONbus */
 
   int allocate(OPFLOW);
   int destroy(OPFLOW);
@@ -72,9 +89,14 @@ struct GENParamsRajaHiop {
   double *qt;         /* min. reactive power gen. limits */
   double *qb;         /* max. reactive power gen. limits */
   double *pgs;        /* real power output setpoint */
+  double *apf;        /* generator AGC participation factor */
+  double *vs;         /* voltage setpoint */
   int *isrenewable;   /* Is renewable generator? */
 
-  int *xidx; /* starting locations in X vector */
+  int *xidx;     /* starting locations in X vector */
+  int *xpdevidx; /* KS: tarting locations of deviation variables in X vector */
+  int *
+      xpsetidx; /* KS: Starting locations in X vector for set-point variables */
   int *
       gidxbus; /* starting locations in constraint vector for bus constraints */
   int *geqidxgen;    /* starting locations in equality constraint vector for gen
@@ -93,7 +115,8 @@ struct GENParamsRajaHiop {
                           Jacobian for Pg */
   int *ineqjacspgen_idx; /* Location number in the bus equality constraints
                             sparse Jacobian for Pg */
-  int *hesssp_idx;       /* Location number in the Hessian */
+  int *hesssp_ineq_idx;  /* Inequality constraints Hessian indices*/
+  int *hesssp_obj_idx;   /* Objective Hessian indices*/
 
   // Device data
   double *cost_alpha_dev_; /* generator cost coefficients */
@@ -104,9 +127,13 @@ struct GENParamsRajaHiop {
   double *qt_dev_;         /* min. reactive power gen. limits */
   double *qb_dev_;         /* max. reactive power gen. limits */
   double *pgs_dev_;        /* real power output setpoint */
+  double *apf_dev_;        /* KS: device counterpart of apf */
+  double *vs_dev_;         /* KS: device counterpart of vs */
   int *isrenewable_dev_;   /* Is renewable generator? */
 
   int *xidx_dev_;        /* starting locations in X vector */
+  int *xpdevidx_dev_;    /* KS: device coutnerpart of xpdevidx*/
+  int *xpsetidx_dev_;    /* KS: xpsetidx device counterpart */
   int *gidxbus_dev_;     /* starting locations in constraint vector for bus
                             constraints */
   int *geqidxgen_dev_;   /* starting locations in equality constraint vector for
@@ -125,7 +152,8 @@ struct GENParamsRajaHiop {
                                  sparse Jacobian for Pg */
   int *ineqjacspgen_idx_dev_; /* Location number in the bus equality constraints
                                  sparse Jacobian for Pg */
-  int *hesssp_idx_dev_;       /* Location number in the Hessian */
+  int *hesssp_ineq_idx_dev_;  /* device counterpart of hesssp_ineq_idx */
+  int *hesssp_obj_idx_dev_;   /* device counterpart of hesssp_obj_idx */
 
   int allocate(OPFLOW);
   int destroy(OPFLOW);
@@ -143,13 +171,13 @@ struct LOADParamsRajaHiop {
   double *pl;               /* active power demand */
   double *ql;               /* reactive power demand */
   double *loadloss_penalty; /* Penalty for load loss */
-  int *xidx;                /* starting location in X vector */
+  int *xidx;                /* KS: starting location in X vector */
   int *gidx;                /* starting location in constraint vector */
 
   /* The following members are only used with HIOP */
-  int *jacsp_idx;  /* Location number in the sparse Jacobian for delPload */
-  int *jacsq_idx;  /* Location number in the sparse Jacobian for delQload */
-  int *hesssp_idx; /* Location number in the Hessian */
+  int *jacsp_idx;      /* Location number in the sparse Jacobian for delPload */
+  int *jacsq_idx;      /* Location number in the sparse Jacobian for delQload */
+  int *hesssp_obj_idx; /* Location number in the Hessian */
 
   double *pl_dev_;               /* active power demand */
   double *ql_dev_;               /* reactive power demand */
@@ -159,7 +187,7 @@ struct LOADParamsRajaHiop {
 
   int *jacsp_idx_dev_; /* Location number in the sparse Jacobian for delPload */
   int *jacsq_idx_dev_; /* Location number in the sparse Jacobian for delQload */
-  int *hesssp_idx_dev_; /* Location number in the Hessian */
+  int *hesssp_obj_idx_dev_; /* Location number in the Hessian */
 
   int allocate(OPFLOW);
   int destroy(OPFLOW);
@@ -192,9 +220,18 @@ struct LINEParamsRajaHiop {
                     contribution in constraints vector */
   int *gineqidx; /* Starting location to insert contribution to inequality
                     constraint */
-  int *gbineqidx;  /* Starting location to insert contribution to inequality
-                      constraint bound */
-  int *linelimidx; /* Indices for subset of lines that have finite limits */
+  int *gbineqidx;     /* Starting location to insert contribution to inequality
+                         constraint bound */
+  int *linelimidx;    /* Indices for subset of lines that have finite limits */
+  int *ineqjacsp_idx; /* KS: Position in flat sparse ineq Jacobian array */
+  int *xslackidx;     /* Starting location of slack variables in X vector */
+  int *eqjacsp_idx; /* Flat-array offset for off-diagonal eq Jacobian entries */
+  int *eqjacsp_diag_idx; /* Flat-array positions for diagonal entries per line
+                            [4*l+0]=from P-row, [4*l+1]=from Q-row,
+                            [4*l+2]=to P-row, [4*l+3]=to Q-row */
+  int *hesssp_eq_idx;    /* Equality constraints Hessian indices */
+  int *hesssp_ineq_idx;  /* Inequality constraints Hessian indices */
+  int *isdcline;         /* isdcline[i] = 1 if line is a DC line */
 
   // Device data
   double *Gff_dev_;    /* From side self conductance */
@@ -218,6 +255,13 @@ struct LINEParamsRajaHiop {
                           constraint bound */
   int *
       linelimidx_dev_; /* Indices for subset of lines that have finite limits */
+  int *ineqjacsp_idx_dev_; /* KS: Position in flat sparse ineq Jacobian array */
+  int *xslackidx_dev_; /* Starting location of slack variables in X vector */
+  int *eqjacsp_idx_dev_;
+  int *eqjacsp_diag_idx_dev_;
+  int *hesssp_eq_idx_dev_;   /* device counterpart of hesssp_eq_idx */
+  int *hesssp_ineq_idx_dev_; /* device counterpart of hesssp_ineq_idx */
+  int *isdcline_dev_;
 
   int allocate(OPFLOW);
   int destroy(OPFLOW);
@@ -234,9 +278,11 @@ typedef struct _p_FormPBPOLRAJAHIOP *PBPOLRAJAHIOP;
 
 struct PbpolModelRajaHiop : public _p_FormPBPOLRAJAHIOP {
   PbpolModelRajaHiop(void) {
-    i_jaceq = j_jaceq = i_jacineq = j_jacineq = NULL;
+    i_jaceq = j_jaceq = NULL;
+    i_jacineq = j_jacineq = NULL;
     i_hess = j_hess = NULL;
-    val_jaceq = val_jacineq = val_hess = NULL;
+    perm_jaceq = perm_jaceq_dev = NULL;
+    perm_hess = perm_hess_dev = NULL;
   }
 
   void destroy(OPFLOW opflow);
@@ -248,13 +294,19 @@ struct PbpolModelRajaHiop : public _p_FormPBPOLRAJAHIOP {
   LINEParamsRajaHiop lineparams;
   BUSParamsRajaHiop busparams;
 
+  int agc_xidx; /* KS: X-vector index for the AGC delta-P variable
+                   (ps->startxloc) */
+
   // Arrays to store Jacobian and Hessian indices and entries on CPU (used with
   // GPU sparse model)
   int *i_jaceq,
-      *j_jaceq; // Row and column indices for equality constrained Jacobian
+      *j_jaceq; // Row and column indices for equality constraints Jacobian
   int *i_jacineq,
-      *j_jacineq; // Row and column indices for inequality constrained Jacobain
-  int *i_hess, *j_hess; // Row and column indices for hessian
-  double *val_jaceq, *val_jacineq,
-      *val_hess; // values for equality, inequality jacobians and hessian
+      *j_jacineq; // Row and column indices for inequality constraints Jacobain
+  int *i_hess,
+      *j_hess; // Row and column indices for hessian
+  int *perm_jaceq,
+      *perm_jaceq_dev; // Permutation for equality constraints Jacobian indices
+  int *perm_hess,
+      *perm_hess_dev; // Permutation for equality constraints Jacobian indices
 };
diff --git a/src/opflow/model/power_bal_hiop/pbpolhiopkernels.cpp b/src/opflow/model/power_bal_hiop/pbpolhiopkernels.cpp
index 7ec9dc82..2d0b5ac6 100644
--- a/src/opflow/model/power_bal_hiop/pbpolhiopkernels.cpp
+++ b/src/opflow/model/power_bal_hiop/pbpolhiopkernels.cpp
@@ -170,10 +170,10 @@ PetscErrorCode OPFLOWSetConstraintBoundsArray_PBPOLHIOP(OPFLOW opflow,
   /* Inequality constraints */
   for (i = 0; i < lineparams->nlinelim; i++) {
     int j = lineparams->linelimidx[i];
-    gl[lineparams->gbineqidx[i]] = 0.0;
+    gl[lineparams->gbineqidx[i]] = PETSC_NINFINITY;
     gu[lineparams->gbineqidx[i]] = (lineparams->rateA[j] / ps->MVAbase) *
                                    (lineparams->rateA[j] / ps->MVAbase);
-    gl[lineparams->gbineqidx[i] + 1] = 0.0;
+    gl[lineparams->gbineqidx[i] + 1] = PETSC_NINFINITY;
     gu[lineparams->gbineqidx[i] + 1] = (lineparams->rateA[j] / ps->MVAbase) *
                                        (lineparams->rateA[j] / ps->MVAbase);
   }
@@ -1056,7 +1056,7 @@ PetscErrorCode OPFLOWComputeDenseInequalityConstraintJacobian_PBPOLHIOP(
   PetscFunctionReturn(0);
 }
 
-PetscErrorCode OPFLOWComputeDenseEqualityConstraintHessian_PBPOLHIOP(
+PetscErrorCode OPFLOWComputeDenseEqualityConstraintsHessian_PBPOLHIOP(
     OPFLOW opflow, const double *x, const double *lambda, double *HDD) {
   PetscErrorCode ierr;
   PBPOLHIOP pbpolhiop = (PBPOLHIOP)opflow->model;
@@ -1254,7 +1254,7 @@ PetscErrorCode OPFLOWComputeDenseEqualityConstraintHessian_PBPOLHIOP(
     dPt_dthetat_dVmf = Vmt * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
 
     /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos(thetatf) + Btf*sin(thetatf)); */
-    dPt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Bft * cos(thetatf));
+    dPt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
     dPt_dVmt_dVmt = 2 * Gtt;
     dPt_dVmt_dthetaf = Vmf * (Gtf * sin(thetatf) - Btf * cos(thetatf));
     dPt_dVmt_dVmf = (Gtf * cos(thetatf) + Btf * sin(thetatf));
@@ -1385,7 +1385,7 @@ PetscErrorCode OPFLOWComputeDenseEqualityConstraintHessian_PBPOLHIOP(
   PetscFunctionReturn(0);
 }
 
-PetscErrorCode OPFLOWComputeDenseInequalityConstraintHessian_PBPOLHIOP(
+PetscErrorCode OPFLOWComputeDenseInequalityConstraintsHessian_PBPOLHIOP(
     OPFLOW opflow, const double *x, const double *lambda, double *HDD) {
   int i;
   PBPOLHIOP pbpolhiop = (PBPOLHIOP)opflow->model;
@@ -1544,7 +1544,7 @@ PetscErrorCode OPFLOWComputeDenseInequalityConstraintHessian_PBPOLHIOP(
     d2Pt_dthetat_dVmf = Vmt * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
 
     /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos(thetatf) + Btf*sin(thetatf)); */
-    d2Pt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Bft * cos(thetatf));
+    d2Pt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
     d2Pt_dVmt_dVmt = 2 * Gtt;
     d2Pt_dVmt_dthetaf = Vmf * (Gtf * sin(thetatf) - Btf * cos(thetatf));
     d2Pt_dVmt_dVmf = (Gtf * cos(thetatf) + Btf * sin(thetatf));
@@ -1829,12 +1829,12 @@ PetscErrorCode OPFLOWComputeDenseHessian_PBPOLHIOP(OPFLOW opflow,
     HDD[i] = 0.0;
 
   /* Equality constraint Hessian */
-  ierr = OPFLOWComputeDenseEqualityConstraintHessian_PBPOLHIOP(opflow, x,
-                                                               lambda, HDD);
+  ierr = OPFLOWComputeDenseEqualityConstraintsHessian_PBPOLHIOP(opflow, x,
+                                                                lambda, HDD);
   CHKERRQ(ierr);
 
   if (opflow->nconineq) {
-    ierr = OPFLOWComputeDenseInequalityConstraintHessian_PBPOLHIOP(
+    ierr = OPFLOWComputeDenseInequalityConstraintsHessian_PBPOLHIOP(
         opflow, x, lambda + opflow->nconeq, HDD);
     CHKERRQ(ierr);
   }
diff --git a/src/opflow/model/power_bal_hiop/pbpolrajahiop.cpp b/src/opflow/model/power_bal_hiop/pbpolrajahiop.cpp
index 0d7930bc..e71dc86a 100644
--- a/src/opflow/model/power_bal_hiop/pbpolrajahiop.cpp
+++ b/src/opflow/model/power_bal_hiop/pbpolrajahiop.cpp
@@ -405,7 +405,7 @@ PetscErrorCode OPFLOWModelSetUp_PBPOLRAJAHIOP(OPFLOW opflow) {
       if (!gen->status)
         continue;
       genparams->eqjacspbus_idx[geni + gi] = nnz_eqjacsp;
-      genparams->hesssp_idx[geni + gi] = nnz_hesssp;
+      genparams->hesssp_obj_idx[geni + gi] = nnz_hesssp;
       nnz_eqjacsp += 1;
       nnz_hesssp += 1;
       gi++;
@@ -416,7 +416,7 @@ PetscErrorCode OPFLOWModelSetUp_PBPOLRAJAHIOP(OPFLOW opflow) {
         ierr = PSBUSGetLoad(bus, k, &load);
         CHKERRQ(ierr);
         loadparams->jacsp_idx[loadi + k] = nnz_eqjacsp;
-        loadparams->hesssp_idx[loadi + k] = nnz_hesssp;
+        loadparams->hesssp_obj_idx[loadi + k] = nnz_hesssp;
         nnz_eqjacsp += 1;
         nnz_hesssp += 2;
       }
@@ -467,6 +467,8 @@ PetscErrorCode OPFLOWModelSetUp_PBPOLRAJAHIOP(OPFLOW opflow) {
         }
         gi++;
         nnz_hesssp += 0; /* 3 Hessian elements from inequality constraints */
+        /* @todo implementation is += 0, but comment says 3. To double-check. */
+        /* Kernel implementation is consistent with += 0. */
       }
     }
 
diff --git a/src/opflow/model/power_bal_hiop/pbpolrajahiopkernels.cpp b/src/opflow/model/power_bal_hiop/pbpolrajahiopkernels.cpp
index c8b65413..9ab087c4 100644
--- a/src/opflow/model/power_bal_hiop/pbpolrajahiopkernels.cpp
+++ b/src/opflow/model/power_bal_hiop/pbpolrajahiopkernels.cpp
@@ -75,9 +75,9 @@ PetscErrorCode OPFLOWSetConstraintBoundsArray_PBPOLRAJAHIOP(OPFLOW opflow,
         RAJA::RangeSegment(0, lineparams->nlinelim),
         RAJA_LAMBDA(RAJA::Index_type i) {
           int j = linelimidx[i];
-          gl_dev[gbineqidx[i]] = 0.0;
+          gl_dev[gbineqidx[i]] = PETSC_NINFINITY;
           gu_dev[gbineqidx[i]] = (rateA[j] / MVAbase) * (rateA[j] / MVAbase);
-          gl_dev[gbineqidx[i] + 1] = 0.0;
+          gl_dev[gbineqidx[i] + 1] = PETSC_NINFINITY;
           gu_dev[gbineqidx[i] + 1] =
               (rateA[j] / MVAbase) * (rateA[j] / MVAbase);
         });
@@ -786,25 +786,25 @@ PetscErrorCode OPFLOWComputeSparseHessian_PBPOLRAJAHIOP(
 
     /* Generator contributions for row,col numbers */
     int *g_xidx = genparams->xidx_dev_;
-    int *hesssp_idx = genparams->hesssp_idx_dev_;
+    int *hesssp_obj_idx = genparams->hesssp_obj_idx_dev_;
     RAJA::forall<exago_raja_exec>(
         RAJA::RangeSegment(0, genparams->ngenON),
         RAJA_LAMBDA(RAJA::Index_type i) {
-          iHSS_dev[hesssp_idx[i]] = g_xidx[i];
-          jHSS_dev[hesssp_idx[i]] = g_xidx[i];
+          iHSS_dev[hesssp_obj_idx[i]] = g_xidx[i];
+          jHSS_dev[hesssp_obj_idx[i]] = g_xidx[i];
         });
 
     /* Loadloss contributions - two contributions*/
     if (opflow->include_loadloss_variables) {
       int *l_xidx = loadparams->xidx_dev_;
-      int *l_hesssp_idx = loadparams->hesssp_idx_dev_;
+      int *l_hesssp_obj_idx = loadparams->hesssp_obj_idx_dev_;
       RAJA::forall<exago_raja_exec>(
           RAJA::RangeSegment(0, loadparams->nload),
           RAJA_LAMBDA(RAJA::Index_type i) {
-            iHSS_dev[l_hesssp_idx[i]] = l_xidx[i];
-            jHSS_dev[l_hesssp_idx[i]] = l_xidx[i];
-            iHSS_dev[l_hesssp_idx[i] + 1] = l_xidx[i] + 1;
-            jHSS_dev[l_hesssp_idx[i] + 1] = l_xidx[i] + 1;
+            iHSS_dev[l_hesssp_obj_idx[i]] = l_xidx[i];
+            jHSS_dev[l_hesssp_obj_idx[i]] = l_xidx[i];
+            iHSS_dev[l_hesssp_obj_idx[i] + 1] = l_xidx[i] + 1;
+            jHSS_dev[l_hesssp_obj_idx[i] + 1] = l_xidx[i] + 1;
           });
     }
   }
@@ -813,31 +813,34 @@ PetscErrorCode OPFLOWComputeSparseHessian_PBPOLRAJAHIOP(
 
     /* Generator contributions */
     if (opflow->objectivetype == MIN_GEN_COST) {
-      int *hesssp_idx = genparams->hesssp_idx_dev_;
+      int *hesssp_obj_idx = genparams->hesssp_obj_idx_dev_;
       double *cost_alpha = genparams->cost_alpha_dev_;
 
       RAJA::forall<exago_raja_exec>(
           RAJA::RangeSegment(0, genparams->ngenON),
           RAJA_LAMBDA(RAJA::Index_type i) {
-            MHSS_dev[hesssp_idx[i]] = weight * isobj_gencost * obj_factor *
-                                      2.0 * cost_alpha[i] * MVAbase * MVAbase;
+            MHSS_dev[hesssp_obj_idx[i]] = weight * isobj_gencost * obj_factor *
+                                          2.0 * cost_alpha[i] * MVAbase *
+                                          MVAbase;
           });
       flps += 6 * genparams->ngenON;
     } else if (opflow->objectivetype == NO_OBJ) {
-      int *hesssp_idx = genparams->hesssp_idx_dev_;
+      int *hesssp_obj_idx = genparams->hesssp_obj_idx_dev_;
       RAJA::forall<exago_raja_exec>(
           RAJA::RangeSegment(0, genparams->ngenON),
-          RAJA_LAMBDA(RAJA::Index_type i) { MHSS_dev[hesssp_idx[i]] = 0.0; });
+          RAJA_LAMBDA(RAJA::Index_type i) {
+            MHSS_dev[hesssp_obj_idx[i]] = 0.0;
+          });
     }
 
     /* Loadloss contributions - 2 contributions expected */
     if (opflow->include_loadloss_variables) {
-      int *l_hesssp_idx = loadparams->hesssp_idx_dev_;
+      int *l_hesssp_obj_idx = loadparams->hesssp_obj_idx_dev_;
       RAJA::forall<exago_raja_exec>(
           RAJA::RangeSegment(0, loadparams->nload),
           RAJA_LAMBDA(RAJA::Index_type i) {
-            MHSS_dev[l_hesssp_idx[i]] = 0.0;
-            MHSS_dev[l_hesssp_idx[i] + 1] = 0.0;
+            MHSS_dev[l_hesssp_obj_idx[i]] = 0.0;
+            MHSS_dev[l_hesssp_obj_idx[i] + 1] = 0.0;
           });
     }
   }
@@ -1208,7 +1211,7 @@ PetscErrorCode OPFLOWComputeDenseInequalityConstraintJacobian_PBPOLRAJAHIOP(
 /**
  * @param[inout] HDD_dev Hessian matrix with size nxdense x nxdense
  */
-PetscErrorCode OPFLOWComputeDenseEqualityConstraintHessian_PBPOLRAJAHIOP(
+PetscErrorCode OPFLOWComputeDenseEqualityConstraintsHessian_PBPOLRAJAHIOP(
     OPFLOW opflow, const double *x_dev, const double *lambda_dev,
     double *HDD_dev) {
   PbpolModelRajaHiop *pbpolrajahiop =
@@ -1452,7 +1455,7 @@ PetscErrorCode OPFLOWComputeDenseEqualityConstraintHessian_PBPOLRAJAHIOP(
         dPt_dthetat_dVmf = Vmt * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
 
         /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos(thetatf) + Btf*sin(thetatf)); */
-        dPt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Bft * cos(thetatf));
+        dPt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
         dPt_dVmt_dVmt = 2 * Gtt;
         dPt_dVmt_dthetaf = Vmf * (Gtf * sin(thetatf) - Btf * cos(thetatf));
         dPt_dVmt_dVmf = (Gtf * cos(thetatf) + Btf * sin(thetatf));
@@ -1598,7 +1601,7 @@ PetscErrorCode OPFLOWComputeDenseEqualityConstraintHessian_PBPOLRAJAHIOP(
 /**
  * @param[inout] HDD_dev Hessian matrix with size nxdense x nxdense
  */
-PetscErrorCode OPFLOWComputeDenseInequalityConstraintHessian_PBPOLRAJAHIOP(
+PetscErrorCode OPFLOWComputeDenseInequalityConstraintsHessian_PBPOLRAJAHIOP(
     OPFLOW opflow, const double *x_dev, const double *lambda_dev,
     double *HDD_dev) {
   PbpolModelRajaHiop *pbpolrajahiop =
@@ -1797,7 +1800,7 @@ PetscErrorCode OPFLOWComputeDenseInequalityConstraintHessian_PBPOLRAJAHIOP(
         d2Pt_dthetat_dVmf = Vmt * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
 
         /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos(thetatf) + Btf*sin(thetatf)); */
-        d2Pt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Bft * cos(thetatf));
+        d2Pt_dVmt_dthetat = Vmf * (-Gtf * sin(thetatf) + Btf * cos(thetatf));
         d2Pt_dVmt_dVmt = 2 * Gtt;
         d2Pt_dVmt_dthetaf = Vmf * (Gtf * sin(thetatf) - Btf * cos(thetatf));
         d2Pt_dVmt_dVmf = (Gtf * cos(thetatf) + Btf * sin(thetatf));
@@ -2091,12 +2094,12 @@ PetscErrorCode OPFLOWComputeDenseHessian_PBPOLRAJAHIOP(OPFLOW opflow,
       RAJA_LAMBDA(RAJA::Index_type i) { HDD_dev[i] = 0.0; });
 
   /* Equality constraint Hessian */
-  ierr = OPFLOWComputeDenseEqualityConstraintHessian_PBPOLRAJAHIOP(
+  ierr = OPFLOWComputeDenseEqualityConstraintsHessian_PBPOLRAJAHIOP(
       opflow, x_dev, lambda_dev, HDD_dev);
   CHKERRQ(ierr);
 
   if (opflow->nconineq) {
-    ierr = OPFLOWComputeDenseInequalityConstraintHessian_PBPOLRAJAHIOP(
+    ierr = OPFLOWComputeDenseInequalityConstraintsHessian_PBPOLRAJAHIOP(
         opflow, x_dev, lambda_dev + opflow->nconeq, HDD_dev);
     CHKERRQ(ierr);
   }
diff --git a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse.cpp b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse.cpp
index fa609378..5ae00d5a 100644
--- a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse.cpp
+++ b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse.cpp
@@ -3,14 +3,25 @@
 #if defined(EXAGO_ENABLE_RAJA)
 #if defined(EXAGO_ENABLE_HIOP_SPARSE)
 
+#include <map>
+
 #include <private/opflowimpl.h>
 #include "pbpolrajahiopsparsekernels.hpp"
 
-/* Initialization is done on the host through this function. Copying over values
+/**
+ * @brief `extern` initial guess function from PBPOL model.
+ *
+ * Initialization is done on the host through this function. Copying over values
  * to the device is done in OPFLOWSetInitialGuessArray_PBPOLRAJAHIOPSPARSE
  */
 extern PetscErrorCode OPFLOWSetInitialGuess_PBPOL(OPFLOW, Vec, Vec);
 
+/**
+ * @brief Set the initial guess for the PBPOL model with Raja and HiOp sparse.
+ *
+ * This function sets the initial guess by calling the same function from
+ * the PBPOL model.
+ */
 PetscErrorCode OPFLOWSetInitialGuess_PBPOLRAJAHIOPSPARSE(OPFLOW opflow, Vec X,
                                                          Vec Lambda) {
   PetscErrorCode ierr;
@@ -23,9 +34,14 @@ PetscErrorCode OPFLOWSetInitialGuess_PBPOLRAJAHIOPSPARSE(OPFLOW opflow, Vec X,
   PetscFunctionReturn(0);
 }
 
+/// @brief `extern` constraint bounds function from PBPOL model.
 extern PetscErrorCode OPFLOWSetConstraintBounds_PBPOL(OPFLOW, Vec, Vec);
 
-/* The constraint bounds are also calculated on the host.
+/**
+ * @brief Set the constraint bounds for the PBPOLHIOPSPARSE model.
+ *
+ * The constraint bounds are also calculated on the host by matching function
+ * from PBPOL model.
  */
 PetscErrorCode OPFLOWSetConstraintBounds_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
                                                              Vec Gl, Vec Gu) {
@@ -37,9 +53,14 @@ PetscErrorCode OPFLOWSetConstraintBounds_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
   PetscFunctionReturn(0);
 }
 
+/// @brief `extern` variable bounds function from PBPOL model.
 extern PetscErrorCode OPFLOWSetVariableBounds_PBPOL(OPFLOW, Vec, Vec);
 
-/* The variable bounds are also calculated on the host.
+/**
+ * @brief Set the variable bounds for the PBPOLHIOPSPARSE model.
+ *
+ * The variable bounds are also calculated on the host by matching function
+ * from PBPOL model.
  */
 PetscErrorCode OPFLOWSetVariableBounds_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
                                                            Vec Xl, Vec Xu) {
@@ -51,6 +72,10 @@ PetscErrorCode OPFLOWSetVariableBounds_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
   PetscFunctionReturn(0);
 }
 
+/**
+ * @brief Store PBPOLRAJAHIOPSPARSE solution to the PS structure.
+ *
+ */
 PetscErrorCode OPFLOWSolutionToPS_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
   PetscErrorCode ierr;
   PS ps = (PS)opflow->ps;
@@ -99,8 +124,8 @@ PetscErrorCode OPFLOWSolutionToPS_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
 
     if (opflow->include_powerimbalance_variables) {
       loc = bus->startxpimbloc;
-      bus->pimb = x[loc];
-      bus->qimb = x[loc + 1];
+      bus->pimb = x[loc] - x[loc + 1];
+      bus->qimb = x[loc + 2] - x[loc + 3];
     }
 
     for (k = 0; k < bus->ngen; k++) {
@@ -115,7 +140,7 @@ PetscErrorCode OPFLOWSolutionToPS_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
       gen->pg = x[loc];
       gen->qg = x[loc + 1];
 
-      if (opflow->has_gensetpoint) {
+      if (opflow->has_gensetpoint && !gen->isrenewable) {
         gloc += gen->nconeq;
       }
     }
@@ -125,8 +150,8 @@ PetscErrorCode OPFLOWSolutionToPS_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
         ierr = PSBUSGetLoad(bus, k, &load);
         CHKERRQ(ierr);
         loc = load->startxloadlossloc;
-        load->pl = load->pl - x[loc];
-        load->ql = load->ql - x[loc + 1];
+        load->pl_loss = x[loc];
+        load->ql_loss = x[loc + 1];
       }
     }
   }
@@ -199,10 +224,45 @@ PetscErrorCode OPFLOWSolutionToPS_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
 }
 
 /* Reuse PBPOL model set up for obtaining locations */
+/// @brief `extern` set up function from PBPOL model.
 extern PetscErrorCode OPFLOWModelSetUp_PBPOL(OPFLOW);
 
+/** @brief Helper function to ensure Hessian entries are not duplicated
+ *
+ * @note Some of the diagonal terms are guarantied to never overalap,
+ * but uniformly using the helper function looks cleaner.
+ *
+ * @todo Evaluate the cost of this setup and consider std::unordered_map
+ * instead of std::map.
+ */
+static inline int
+count_entry(std::map<std::pair<int, int>, int> &existing_pairs, int r, int c,
+            int &nnz_hesssp) {
+  if (r > c)
+    std::swap(r, c);
+  const auto key = std::make_pair(r, c);
+
+  auto it = existing_pairs.find(key);
+  if (it == existing_pairs.end()) {
+    const int idx = nnz_hesssp;
+    existing_pairs[key] = idx;
+    nnz_hesssp++;
+    return idx;
+  }
+  return it->second;
+}
+
+/** @brief Set up the PBPOLRAJAHIOPSPARSE model.
+ *
+ * This function initializes the host objects for the PBPOLRAJAHIOPSPARSE
+ * model by calling the corresponding function from the PBPOL model, and then
+ * allocates structures with device data, defined in `paramsrajahiop.cpp`.
+ */
 PetscErrorCode OPFLOWModelSetUp_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
   PetscErrorCode ierr;
+
+  // This struct is defined in `paramsrajahiop.h`. It inherits from
+  // _p_FormPBPOLRAJAHIOP, which is unwise mixture of C and C++ approaches.
   PbpolModelRajaHiop *pbpolrajahiopsparse =
       reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
 
@@ -221,9 +281,375 @@ PetscErrorCode OPFLOWModelSetUp_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
   LOADParamsRajaHiop *loadparams = &pbpolrajahiopsparse->loadparams;
   LINEParamsRajaHiop *lineparams = &pbpolrajahiopsparse->lineparams;
 
-  /* Need to compute the number of nonzeros in equality, inequality constraint
-   * Jacobians and Hessian */
+  PS ps = opflow->ps;
+  PSBUS bus;
+  PSGEN gen;
+  PSLINE line;
+  PetscInt i, k;
+
+  /* Store the automatic generation control (AGC) variable index (scalar) */
+  if (opflow->use_agc) {
+    pbpolrajahiopsparse->agc_xidx = ps->startxloc;
+  } else {
+    pbpolrajahiopsparse->agc_xidx = -1;
+  }
+
+  /* Initialize the number of nonzeros to 0 */
   int nnz_eqjacsp = 0, nnz_ineqjacsp = 0, nnz_hesssp = 0;
+
+  /* ---- Equality constraint Jacobian nnz counting ---- */
+  {
+    int geni_eq = 0, loadi_eq = 0;
+    for (int ibus = 0; ibus < ps->nbus; ++ibus) {
+      PSBUS bus_eq = &(ps->bus[ibus]);
+
+      busparams->eqjacsp_idx[2 * ibus] = nnz_eqjacsp;
+      nnz_eqjacsp += 2;
+
+      if (bus_eq->ide == ISOLATED_BUS) {
+        busparams->eqjacsp_idx[2 * ibus + 1] = nnz_eqjacsp;
+        nnz_eqjacsp += 2;
+        continue;
+      }
+
+      if (opflow->include_powerimbalance_variables) {
+        busparams->jacsp_idx[ibus] = nnz_eqjacsp;
+        nnz_eqjacsp += 2;
+      }
+
+      int gi_eq = 0;
+      for (int kk = 0; kk < bus_eq->ngen; kk++) {
+        PSGEN gen_eq;
+        ierr = PSBUSGetGen(bus_eq, kk, &gen_eq);
+        CHKERRQ(ierr);
+        if (!gen_eq->status)
+          continue;
+        genparams->eqjacspbus_idx[geni_eq + gi_eq] = nnz_eqjacsp;
+        nnz_eqjacsp += 1;
+        gi_eq++;
+      }
+
+      if (opflow->include_loadloss_variables) {
+        for (int kk = 0; kk < bus_eq->nload; kk++) {
+          PSLOAD load_eq;
+          ierr = PSBUSGetLoad(bus_eq, kk, &load_eq);
+          CHKERRQ(ierr);
+          loadparams->jacsp_idx[loadi_eq + kk] = nnz_eqjacsp;
+          nnz_eqjacsp += 1;
+        }
+      }
+
+      busparams->eqjacsp_idx[2 * ibus + 1] = nnz_eqjacsp;
+      nnz_eqjacsp += 2;
+
+      if (opflow->include_powerimbalance_variables) {
+        busparams->jacsq_idx[ibus] = nnz_eqjacsp;
+        nnz_eqjacsp += 2;
+      }
+
+      gi_eq = 0;
+      for (int kk = 0; kk < bus_eq->ngen; kk++) {
+        PSGEN gen_eq;
+        ierr = PSBUSGetGen(bus_eq, kk, &gen_eq);
+        CHKERRQ(ierr);
+        if (!gen_eq->status)
+          continue;
+        genparams->eqjacsqbus_idx[geni_eq + gi_eq] = nnz_eqjacsp;
+        nnz_eqjacsp += 1;
+        gi_eq++;
+      }
+
+      if (opflow->include_loadloss_variables) {
+        for (int kk = 0; kk < bus_eq->nload; kk++) {
+          PSLOAD load_eq;
+          ierr = PSBUSGetLoad(bus_eq, kk, &load_eq);
+          CHKERRQ(ierr);
+          loadparams->jacsq_idx[loadi_eq + kk] = nnz_eqjacsp;
+          nnz_eqjacsp += 1;
+        }
+      }
+
+      geni_eq += bus_eq->ngenON;
+      loadi_eq += bus_eq->nload;
+    }
+
+    int iline_eq = 0;
+    std::map<std::pair<int, int>, int> buspair_to_offdiag;
+    for (int iline = 0; iline < ps->nline; ++iline) {
+      PSLINE line_eq = &(ps->line[iline]);
+      if (!line_eq->status)
+        continue;
+      if (!line_eq->isdcline) {
+        const PSBUS *connbuses_eq;
+        ierr = PSLINEGetConnectedBuses(line_eq, &connbuses_eq);
+        CHKERRQ(ierr);
+        int busidxf = (int)(connbuses_eq[0] - ps->bus);
+        int busidxt = (int)(connbuses_eq[1] - ps->bus);
+
+        lineparams->eqjacsp_diag_idx[4 * iline_eq + 0] =
+            busparams->eqjacsp_idx[2 * busidxf];
+        lineparams->eqjacsp_diag_idx[4 * iline_eq + 1] =
+            busparams->eqjacsp_idx[2 * busidxf + 1];
+        lineparams->eqjacsp_diag_idx[4 * iline_eq + 2] =
+            busparams->eqjacsp_idx[2 * busidxt];
+        lineparams->eqjacsp_diag_idx[4 * iline_eq + 3] =
+            busparams->eqjacsp_idx[2 * busidxt + 1];
+
+        auto key = std::make_pair(std::min(busidxf, busidxt),
+                                  std::max(busidxf, busidxt));
+        auto it = buspair_to_offdiag.find(key);
+        if (it != buspair_to_offdiag.end()) {
+          lineparams->eqjacsp_idx[iline_eq] = it->second;
+        } else {
+          lineparams->eqjacsp_idx[iline_eq] = nnz_eqjacsp;
+          buspair_to_offdiag[key] = nnz_eqjacsp;
+          nnz_eqjacsp += 8;
+        }
+      }
+      iline_eq++;
+    }
+
+    if (opflow->has_gensetpoint) {
+      geni_eq = 0;
+      for (int ibus = 0; ibus < ps->nbus; ++ibus) {
+        PSBUS bus_eq = &(ps->bus[ibus]);
+        int gi_eq = 0;
+        for (int kk = 0; kk < bus_eq->ngen; kk++) {
+          PSGEN gen_eq;
+          ierr = PSBUSGetGen(bus_eq, kk, &gen_eq);
+          CHKERRQ(ierr);
+          if (!gen_eq->status)
+            continue;
+          if (!gen_eq->isrenewable) {
+            genparams->eqjacspgen_idx[geni_eq + gi_eq] = nnz_eqjacsp;
+            nnz_eqjacsp += 4;
+          }
+          gi_eq++;
+        }
+        geni_eq += bus_eq->ngenON;
+      }
+    }
+  }
+
+  /* ---- Inequality constraint Jacobian nnz counting ---- */
+  {
+    int geni = 0, gi;
+    for (i = 0; i < ps->nbus; i++) {
+      bus = &ps->bus[i];
+
+      /* Bus voltage-Q-bounds constraints (FIXED_WITHIN_QBOUNDS) */
+      if (opflow->genbusvoltagetype == FIXED_WITHIN_QBOUNDS) {
+        if (bus->ide == PV_BUS || bus->ide == REF_BUS) {
+          busparams->ineqjacsp_idx[i] = nnz_ineqjacsp;
+          /* 2 rows, each with ngenON + 1 entries (one per gen Qg + one for V)
+           */
+          nnz_ineqjacsp += 2 * (bus->ngenON + 1);
+        }
+      }
+
+      /* KS: Generator set-point constraints */
+      gi = 0;
+      if (opflow->has_gensetpoint) {
+        for (k = 0; k < bus->ngen; k++) {
+          ierr = PSBUSGetGen(bus, k, &gen);
+          CHKERRQ(ierr);
+          if (!gen->status)
+            continue;
+          if (!gen->isrenewable) {
+            genparams->ineqjacspgen_idx[geni + gi] = nnz_ineqjacsp;
+            if (opflow->use_agc) {
+              nnz_ineqjacsp += 6; /* 2 rows x 3 entries (Pg, delPg, delP) */
+            }
+          }
+          gi++;
+        }
+      }
+
+      geni += bus->ngenON;
+    }
+
+    /* Line flow constraints */
+    int linej = 0;
+    for (i = 0; i < ps->nline; i++) {
+      line = &ps->line[i];
+      if (!line->status)
+        continue;
+      if (line->isdcline)
+        continue;
+
+      if (linej < opflow->nlinesmon && opflow->linesmon[linej] == i) {
+        lineparams->ineqjacsp_idx[linej] = nnz_ineqjacsp;
+        /* 2 rows x 4 entries (thetaf, Vmf, thetat, Vmt) */
+        int entries_per_line = 8;
+        if (opflow->allow_lineflow_violation) {
+          entries_per_line += 2; /* 1 slack entry per row */
+        }
+        nnz_ineqjacsp += entries_per_line;
+        linej++;
+      }
+    }
+  }
+
+  /* ---- Hessian nnz counting ---- */
+  {
+    std::map<std::pair<int, int>, int> existing_pairs;
+
+    // Bus equality constraint Hessian (1 diagonal entry)
+    for (int ibus = 0; ibus < busparams->nbus; ++ibus) {
+      const int xloc = busparams->xidx[ibus];
+      busparams->hesssp_eq_idx[ibus] =
+          count_entry(existing_pairs, xloc + 1, xloc + 1, nnz_hesssp);
+    }
+
+    // Line equality constraints Hessian (4x4, 10 upper triangular)
+    for (int iline = 0; iline < lineparams->nlineON; ++iline) {
+      const int xlocf = lineparams->xidxf[iline];
+      const int xloct = lineparams->xidxt[iline];
+      const int base = 10 * iline;
+
+      lineparams->hesssp_eq_idx[base + 0] =
+          count_entry(existing_pairs, xlocf, xlocf, nnz_hesssp);
+      lineparams->hesssp_eq_idx[base + 1] =
+          count_entry(existing_pairs, xlocf, xlocf + 1, nnz_hesssp);
+      lineparams->hesssp_eq_idx[base + 2] =
+          count_entry(existing_pairs, xlocf, xloct, nnz_hesssp);
+      lineparams->hesssp_eq_idx[base + 3] =
+          count_entry(existing_pairs, xlocf, xloct + 1, nnz_hesssp);
+
+      lineparams->hesssp_eq_idx[base + 4] =
+          count_entry(existing_pairs, xlocf + 1, xlocf + 1, nnz_hesssp);
+      lineparams->hesssp_eq_idx[base + 5] =
+          count_entry(existing_pairs, xlocf + 1, xloct, nnz_hesssp);
+      lineparams->hesssp_eq_idx[base + 6] =
+          count_entry(existing_pairs, xlocf + 1, xloct + 1, nnz_hesssp);
+
+      lineparams->hesssp_eq_idx[base + 7] =
+          count_entry(existing_pairs, xloct, xloct, nnz_hesssp);
+      lineparams->hesssp_eq_idx[base + 8] =
+          count_entry(existing_pairs, xloct, xloct + 1, nnz_hesssp);
+
+      lineparams->hesssp_eq_idx[base + 9] =
+          count_entry(existing_pairs, xloct + 1, xloct + 1, nnz_hesssp);
+    }
+
+    // Generator AGC inequality constraints Hessian (3 upper triangular entries)
+    if (opflow->has_gensetpoint && opflow->use_agc) {
+      const int xloc_dpsys = pbpolrajahiopsparse->agc_xidx;
+
+      for (int g = 0; g < genparams->ngenON; ++g) {
+        if (genparams->isrenewable[g])
+          continue;
+
+        const int xloc_pg = genparams->xidx[g];
+        const int xloc_dev = genparams->xpdevidx[g];
+
+        const int base = 3 * g;
+
+        genparams->hesssp_ineq_idx[base + 0] =
+            count_entry(existing_pairs, xloc_pg, xloc_pg, nnz_hesssp);
+        genparams->hesssp_ineq_idx[base + 1] =
+            count_entry(existing_pairs, xloc_pg, xloc_dev, nnz_hesssp);
+        genparams->hesssp_ineq_idx[base + 2] =
+            count_entry(existing_pairs, xloc_pg, xloc_dpsys, nnz_hesssp);
+      }
+    }
+
+    // Set voltage inequality constraints Hessian (1 entry)
+    if (opflow->genbusvoltagetype == FIXED_WITHIN_QBOUNDS) {
+      for (int ibus = 0; ibus < busparams->nbus; ++ibus) {
+        if (!(busparams->ispv[ibus] || busparams->isref[ibus]))
+          continue;
+
+        const int xloc_v = busparams->xidx[ibus] + 1;
+        const int goff = busparams->genoffset[ibus];
+        const int ngen = busparams->ngenONbus[ibus];
+
+        for (int k = 0; k < ngen; ++k) {
+          const int g = goff + k;
+          const int xloc_qg = genparams->xidx[g] + 1;
+
+          busparams->hesssp_ineq_idx[g] =
+              count_entry(existing_pairs, xloc_qg, xloc_v, nnz_hesssp);
+        }
+      }
+    }
+
+    // Line inequality constraints Hessian (4x4, 10 upper triangular)
+    for (int imon = 0; imon < lineparams->nlinelim; ++imon) {
+      const int iline = lineparams->linelimidx[imon];
+      if (lineparams->isdcline[iline])
+        continue;
+
+      const int xlocf = lineparams->xidxf[iline];
+      const int xloct = lineparams->xidxt[iline];
+      const int base = 10 * imon;
+
+      lineparams->hesssp_ineq_idx[base + 0] =
+          count_entry(existing_pairs, xlocf, xlocf, nnz_hesssp);
+      lineparams->hesssp_ineq_idx[base + 1] =
+          count_entry(existing_pairs, xlocf, xlocf + 1, nnz_hesssp);
+      lineparams->hesssp_ineq_idx[base + 2] =
+          count_entry(existing_pairs, xlocf, xloct, nnz_hesssp);
+      lineparams->hesssp_ineq_idx[base + 3] =
+          count_entry(existing_pairs, xlocf, xloct + 1, nnz_hesssp);
+
+      lineparams->hesssp_ineq_idx[base + 4] =
+          count_entry(existing_pairs, xlocf + 1, xlocf + 1, nnz_hesssp);
+      lineparams->hesssp_ineq_idx[base + 5] =
+          count_entry(existing_pairs, xlocf + 1, xloct, nnz_hesssp);
+      lineparams->hesssp_ineq_idx[base + 6] =
+          count_entry(existing_pairs, xlocf + 1, xloct + 1, nnz_hesssp);
+
+      lineparams->hesssp_ineq_idx[base + 7] =
+          count_entry(existing_pairs, xloct, xloct, nnz_hesssp);
+      lineparams->hesssp_ineq_idx[base + 8] =
+          count_entry(existing_pairs, xloct, xloct + 1, nnz_hesssp);
+
+      lineparams->hesssp_ineq_idx[base + 9] =
+          count_entry(existing_pairs, xloct + 1, xloct + 1, nnz_hesssp);
+    }
+
+    // Power-imbalance objective Hessian (2 diagonal entries)
+    if (opflow->include_powerimbalance_variables) {
+      for (int ibus = 0; ibus < busparams->nbus; ++ibus) {
+        const int xloc = busparams->xidxpimb[ibus];
+        const int base = 2 * ibus;
+
+        busparams->hesssp_obj_idx[base + 0] =
+            count_entry(existing_pairs, xloc, xloc, nnz_hesssp);
+        busparams->hesssp_obj_idx[base + 1] =
+            count_entry(existing_pairs, xloc + 1, xloc + 1, nnz_hesssp);
+      }
+    }
+
+    // Gen objective Hessian (1 diagonal entry)
+    if (opflow->objectivetype == MIN_GEN_COST ||
+        opflow->objectivetype == MIN_GENSETPOINT_DEVIATION) {
+      for (int igen = 0; igen < genparams->ngenON; ++igen) {
+        const int xloc = (opflow->objectivetype == MIN_GEN_COST)
+                             ? genparams->xidx[igen]
+                             : genparams->xpdevidx[igen];
+
+        genparams->hesssp_obj_idx[igen] =
+            count_entry(existing_pairs, xloc, xloc, nnz_hesssp);
+      }
+    }
+
+    // Load objective Hessian (2 diagonal entries)
+    if (opflow->include_loadloss_variables) {
+      for (int iload = 0; iload < loadparams->nload; ++iload) {
+        const int xloc = loadparams->xidx[iload];
+        const int base = 2 * iload;
+
+        loadparams->hesssp_obj_idx[base + 0] =
+            count_entry(existing_pairs, xloc, xloc, nnz_hesssp);
+        loadparams->hesssp_obj_idx[base + 1] =
+            count_entry(existing_pairs, xloc + 1, xloc + 1, nnz_hesssp);
+      }
+    }
+  }
+
+  /* Store nnz counts */
   opflow->nnz_eqjacsp = nnz_eqjacsp;
   opflow->nnz_ineqjacsp = nnz_ineqjacsp;
   opflow->nnz_hesssp = nnz_hesssp;
@@ -236,6 +662,10 @@ PetscErrorCode OPFLOWModelSetUp_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
   PetscFunctionReturn(0);
 }
 
+/**
+ * @brief Destructor for the PBPOLRAJAHIOPSPARSE model.
+ *
+ */
 PetscErrorCode OPFLOWModelDestroy_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
   PbpolModelRajaHiop *pbpolrajahiopsparse =
       reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
@@ -264,10 +694,22 @@ extern PetscErrorCode OPFLOWSolutionCallback_PBPOLRAJAHIOPSPARSE(
     OPFLOW, const double *, const double *, const double *, const double *,
     const double *, double);
 
+/**
+ * @brief Constructor for the PBPOLRAJAHIOPSPARSE model.
+ *
+ * This function creates a new PBPOLRAJAHIOPSPARSE model and sets pointers
+ * to the model's methods implementations.
+ *
+ * @param opflow The pointer to the object to instantiate.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode OPFLOWModelCreate_PBPOLRAJAHIOPSPARSE(OPFLOW opflow) {
 
   PetscFunctionBegin;
 
+  // This may be confusing: The class PbpolModelRajaHiop is a sparse model
+  // using HiOp solver, but is implemented in file with HiOp mixed dense-sparse
+  // model implementation.
   PbpolModelRajaHiop *pbpolrajahiopsparse = new PbpolModelRajaHiop();
 
   opflow->model = pbpolrajahiopsparse;
diff --git a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse_gpu.cpp b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse_gpu.cpp
new file mode 100644
index 00000000..eaeb04e7
--- /dev/null
+++ b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse_gpu.cpp
@@ -0,0 +1,1106 @@
+
+#include <exago_config.h>
+
+#if defined(EXAGO_ENABLE_RAJA)
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
+
+#include <RAJA/RAJA.hpp>
+#include <private/raja_exec_config.h>
+
+#include "pbpolrajahiopsparse_gpu.hpp"
+
+void ComputeIneqJacValuesGPU_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
+                                                 const double *x_dev,
+                                                 double *jacd_dev) {
+  PbpolModelRajaHiop *pbpolrajahiopsparse =
+      reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
+  GENParamsRajaHiop *genparams = &pbpolrajahiopsparse->genparams;
+  BUSParamsRajaHiop *busparams = &pbpolrajahiopsparse->busparams;
+
+  /*
+   * Generator set-point inequality Jacobian (has_gensetpoint && use_agc).
+   *
+   * PETSc reference (pbpol.cpp:1191-1232):
+   *   Row gloc:   [apf*delP - delPg,  -(Pg - pt),  apf*(Pg - pt)]
+   *   Row gloc+1: [apf*delP - delPg,  (pb - Pg),  -apf*(pb - Pg)]
+   *
+   * Flat array layout per generator (6 entries):
+   *   [0..2] = row 0 values (Pg, delPg, delP columns)
+   *   [3..5] = row 1 values (Pg, delPg, delP columns)
+   */
+  if (opflow->has_gensetpoint && opflow->use_agc) {
+    int *g_ineqjacsp_idx = genparams->ineqjacspgen_idx_dev_;
+    int *g_xidx = genparams->xidx_dev_;
+    int *g_xpdevidx = genparams->xpdevidx_dev_;
+    int *g_isrenewable = genparams->isrenewable_dev_;
+    double *g_apf = genparams->apf_dev_;
+    double *g_pt = genparams->pt_dev_;
+    double *g_pb = genparams->pb_dev_;
+    int agc_xidx = pbpolrajahiopsparse->agc_xidx;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, genparams->ngenON),
+        RAJA_LAMBDA(RAJA::Index_type i) {
+          if (g_isrenewable[i])
+            return;
+
+          int base = g_ineqjacsp_idx[i];
+          double Pg = x_dev[g_xidx[i]];
+          double delPg = x_dev[g_xpdevidx[i]];
+          double delP = x_dev[agc_xidx];
+          double apf = g_apf[i];
+          double pt = g_pt[i];
+          double pb = g_pb[i];
+
+          double apf_delP_minus_delPg = apf * delP - delPg;
+
+          /* Row 0: d/d{Pg, delPg, delP} of (apf*delP - delPg)*(Pg - pt) */
+          jacd_dev[base + 0] = apf_delP_minus_delPg;
+          jacd_dev[base + 1] = -(Pg - pt);
+          jacd_dev[base + 2] = apf * (Pg - pt);
+
+          /* Row 1: d/d{Pg, delPg, delP} of (delPg - apf*delP)*(pb - Pg) */
+          jacd_dev[base + 3] = apf_delP_minus_delPg;
+          jacd_dev[base + 4] = pb - Pg;
+          jacd_dev[base + 5] = -apf * (pb - Pg);
+        });
+  }
+
+  /*
+   * FIXED_WITHIN_QBOUNDS voltage constraint Jacobian.
+   *
+   * PETSc reference (pbpol.cpp:1235-1278):
+   *   For each PV/REF bus with ngenON generators:
+   *     Row 0 (gloc):   [Vset_0-V, Vset_1-V, ..., Qmax-Q]
+   *     Row 1 (gloc+1): [Vset_0-V, Vset_1-V, ..., Qmin-Q]
+   *
+   * Flat array layout per bus (2 * (ngenON + 1) entries):
+   *   Row 0: ngenON Qg derivative entries + 1 V derivative entry
+   *   Row 1: ngenON Qg derivative entries + 1 V derivative entry
+   *
+   * This kernel parallelizes over buses. The inner loop over generators
+   * is sequential within each thread (variable-length per bus).
+   */
+  if (opflow->genbusvoltagetype == FIXED_WITHIN_QBOUNDS) {
+    int *b_ispv = busparams->ispv_dev_;
+    int *b_isref = busparams->isref_dev_;
+    int *b_xidx = busparams->xidx_dev_;
+    int *b_ineqjacsp_idx = busparams->ineqjacsp_idx_dev_;
+    int *b_genoffset = busparams->genoffset_dev_;
+    int *b_ngenONbus = busparams->ngenONbus_dev_;
+    int *g_xidx = genparams->xidx_dev_;
+    double *g_qt = genparams->qt_dev_;
+    double *g_qb = genparams->qb_dev_;
+    double *g_vs = genparams->vs_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, busparams->nbus),
+        RAJA_LAMBDA(RAJA::Index_type i) {
+          if (!b_ispv[i] && !b_isref[i])
+            return;
+
+          int base = b_ineqjacsp_idx[i];
+          int ngen = b_ngenONbus[i];
+          int goff = b_genoffset[i];
+          double V = x_dev[b_xidx[i] + 1];
+
+          double Q = 0.0, Qmax = 0.0, Qmin = 0.0;
+          double Vset = 0.0;
+
+          /* Row 0 and Row 1: Qg derivative entries */
+          for (int k = 0; k < ngen; k++) {
+            int gidx = goff + k;
+            double Qg = x_dev[g_xidx[gidx] + 1];
+            Q += Qg;
+            Qmax += g_qt[gidx];
+            Qmin += g_qb[gidx];
+            Vset = g_vs[gidx];
+
+            double dQg = Vset - V;
+            /* Row 0 entry for this gen's Qg */
+            jacd_dev[base + k] = dQg;
+            /* Row 1 entry for this gen's Qg */
+            jacd_dev[base + ngen + 1 + k] = dQg;
+          }
+
+          /* Row 0: V derivative entry (last in this row) */
+          jacd_dev[base + ngen] = Qmax - Q;
+          /* Row 1: V derivative entry (last in this row) */
+          jacd_dev[base + ngen + 1 + ngen] = Qmin - Q;
+        });
+  }
+
+  /*
+   * Line flow constraint Jacobian.
+   *
+   * Computes dSf2/d{thetaf,Vmf,thetat,Vmt} and dSt2/d{thetaf,Vmf,thetat,Vmt}
+   * for each monitored line, plus optional slack variable entries (-1.0).
+   *
+   * Flat array layout per line (8 entries without slack, 10 with):
+   *   Row 0 (Sf2): [dSf2_dthetaf, dSf2_dVmf, dSf2_dthetat, dSf2_dVmt,
+   *                  (-1.0 if slack)]
+   *   Row 1 (St2): [dSt2_dthetaf, dSt2_dVmf, dSt2_dthetat, dSt2_dVmt,
+   *                  (-1.0 if slack)]
+   */
+  LINEParamsRajaHiop *lineparams = &pbpolrajahiopsparse->lineparams;
+
+  if (lineparams->nlinelim) {
+    double *Gff_arr = lineparams->Gff_dev_;
+    double *Bff_arr = lineparams->Bff_dev_;
+    double *Gft_arr = lineparams->Gft_dev_;
+    double *Bft_arr = lineparams->Bft_dev_;
+    double *Gtf_arr = lineparams->Gtf_dev_;
+    double *Btf_arr = lineparams->Btf_dev_;
+    double *Gtt_arr = lineparams->Gtt_dev_;
+    double *Btt_arr = lineparams->Btt_dev_;
+    int *linelimidx = lineparams->linelimidx_dev_;
+    int *xidxf = lineparams->xidxf_dev_;
+    int *xidxt = lineparams->xidxt_dev_;
+    int *ineqjacsp_idx = lineparams->ineqjacsp_idx_dev_;
+    int has_slack = (int)opflow->allow_lineflow_violation;
+    int row_stride = 4 + has_slack;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, lineparams->nlinelim),
+        RAJA_LAMBDA(RAJA::Index_type i) {
+          int j = linelimidx[i];
+          int base = ineqjacsp_idx[i];
+
+          double thetaf = x_dev[xidxf[j]];
+          double Vmf = x_dev[xidxf[j] + 1];
+          double thetat = x_dev[xidxt[j]];
+          double Vmt = x_dev[xidxt[j] + 1];
+          double thetaft = thetaf - thetat;
+          double thetatf = thetat - thetaf;
+
+          double Gff = Gff_arr[j], Bff = Bff_arr[j];
+          double Gft = Gft_arr[j], Bft = Bft_arr[j];
+          double Gtf = Gtf_arr[j], Btf = Btf_arr[j];
+          double Gtt = Gtt_arr[j], Btt = Btt_arr[j];
+
+          double sin_ft = sin(thetaft), cos_ft = cos(thetaft);
+          double sin_tf = sin(thetatf), cos_tf = cos(thetatf);
+
+          double Pf =
+              Gff * Vmf * Vmf + Vmf * Vmt * (Gft * cos_ft + Bft * sin_ft);
+          double Qf =
+              -Bff * Vmf * Vmf + Vmf * Vmt * (-Bft * cos_ft + Gft * sin_ft);
+          double Pt =
+              Gtt * Vmt * Vmt + Vmt * Vmf * (Gtf * cos_tf + Btf * sin_tf);
+          double Qt =
+              -Btt * Vmt * Vmt + Vmt * Vmf * (-Btf * cos_tf + Gtf * sin_tf);
+
+          double dSf2_dPf = 2 * Pf, dSf2_dQf = 2 * Qf;
+          double dSt2_dPt = 2 * Pt, dSt2_dQt = 2 * Qt;
+
+          double dPf_dthetaf = Vmf * Vmt * (-Gft * sin_ft + Bft * cos_ft);
+          double dPf_dVmf = 2 * Gff * Vmf + Vmt * (Gft * cos_ft + Bft * sin_ft);
+          double dPf_dthetat = Vmf * Vmt * (Gft * sin_ft - Bft * cos_ft);
+          double dPf_dVmt = Vmf * (Gft * cos_ft + Bft * sin_ft);
+
+          double dQf_dthetaf = Vmf * Vmt * (Bft * sin_ft + Gft * cos_ft);
+          double dQf_dVmf =
+              -2 * Bff * Vmf + Vmt * (-Bft * cos_ft + Gft * sin_ft);
+          double dQf_dthetat = Vmf * Vmt * (-Bft * sin_ft - Gft * cos_ft);
+          double dQf_dVmt = Vmf * (-Bft * cos_ft + Gft * sin_ft);
+
+          double dPt_dthetat = Vmt * Vmf * (-Gtf * sin_tf + Btf * cos_tf);
+          double dPt_dVmt = 2 * Gtt * Vmt + Vmf * (Gtf * cos_tf + Btf * sin_tf);
+          double dPt_dthetaf = Vmt * Vmf * (Gtf * sin_tf - Btf * cos_tf);
+          double dPt_dVmf = Vmt * (Gtf * cos_tf + Btf * sin_tf);
+
+          double dQt_dthetat = Vmt * Vmf * (Btf * sin_tf + Gtf * cos_tf);
+          double dQt_dVmt =
+              -2 * Btt * Vmt + Vmf * (-Btf * cos_tf + Gtf * sin_tf);
+          double dQt_dthetaf = Vmt * Vmf * (-Btf * sin_tf - Gtf * cos_tf);
+          double dQt_dVmf = Vmt * (-Btf * cos_tf + Gtf * sin_tf);
+
+          /* Row 0 (Sf2): derivatives w.r.t. thetaf, Vmf, thetat, Vmt */
+          jacd_dev[base + 0] = dSf2_dPf * dPf_dthetaf + dSf2_dQf * dQf_dthetaf;
+          jacd_dev[base + 1] = dSf2_dPf * dPf_dVmf + dSf2_dQf * dQf_dVmf;
+          jacd_dev[base + 2] = dSf2_dPf * dPf_dthetat + dSf2_dQf * dQf_dthetat;
+          jacd_dev[base + 3] = dSf2_dPf * dPf_dVmt + dSf2_dQf * dQf_dVmt;
+
+          /* Row 1 (St2): derivatives w.r.t. thetaf, Vmf, thetat, Vmt */
+          jacd_dev[base + row_stride + 0] =
+              dSt2_dPt * dPt_dthetaf + dSt2_dQt * dQt_dthetaf;
+          jacd_dev[base + row_stride + 1] =
+              dSt2_dPt * dPt_dVmf + dSt2_dQt * dQt_dVmf;
+          jacd_dev[base + row_stride + 2] =
+              dSt2_dPt * dPt_dthetat + dSt2_dQt * dQt_dthetat;
+          jacd_dev[base + row_stride + 3] =
+              dSt2_dPt * dPt_dVmt + dSt2_dQt * dQt_dVmt;
+
+          /* Slack variable entries (Step 5) */
+          if (has_slack) {
+            jacd_dev[base + 4] = -1.0;
+            jacd_dev[base + row_stride + 4] = -1.0;
+          }
+        });
+  }
+}
+
+void ComputeEqJacValuesGPU_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
+                                               const double *x_dev,
+                                               const int *perm_dev,
+                                               double *jace_dev) {
+  PbpolModelRajaHiop *pbpolrajahiopsparse =
+      reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
+  BUSParamsRajaHiop *busparams = &pbpolrajahiopsparse->busparams;
+  GENParamsRajaHiop *genparams = &pbpolrajahiopsparse->genparams;
+  LOADParamsRajaHiop *loadparams = &pbpolrajahiopsparse->loadparams;
+  LINEParamsRajaHiop *lineparams = &pbpolrajahiopsparse->lineparams;
+
+  /* Zero the equality Jacobian values before accumulating */
+  RAJA::forall<exago_raja_exec>(
+      RAJA::RangeSegment(0, opflow->nnz_eqjacsp),
+      RAJA_LAMBDA(RAJA::Index_type i) { jace_dev[i] = 0.0; });
+
+  /*
+   * Kernel 1: Bus contributions (shunt self-admittance, power imbalance,
+   *           generator Pg/Qg, load loss, gen setpoint).
+   */
+  {
+    int *b_isisolated = busparams->isisolated_dev_;
+    int *b_xidx = busparams->xidx_dev_;
+    double *b_gl = busparams->gl_dev_;
+    double *b_bl = busparams->bl_dev_;
+    int *b_idx = busparams->eqjacsp_idx_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, busparams->nbus),
+        RAJA_LAMBDA(RAJA::Index_type i) {
+          int pbase = b_idx[2 * i];
+          int qbase = b_idx[2 * i + 1];
+
+          if (b_isisolated[i]) {
+            jace_dev[perm_dev[pbase + 0]] = 1.0;
+            jace_dev[perm_dev[pbase + 1]] = 0.0;
+            jace_dev[perm_dev[qbase + 0]] = 0.0;
+            jace_dev[perm_dev[qbase + 1]] = 1.0;
+            return;
+          }
+
+          double Vm = x_dev[b_xidx[i] + 1];
+
+          jace_dev[perm_dev[pbase + 0]] = 0.0;
+          jace_dev[perm_dev[pbase + 1]] = 2.0 * Vm * b_gl[i];
+          jace_dev[perm_dev[qbase + 0]] = 0.0;
+          jace_dev[perm_dev[qbase + 1]] = -2.0 * Vm * b_bl[i];
+        });
+
+    if (opflow->include_powerimbalance_variables) {
+      int *b_jacsp = busparams->jacsp_idx_dev_;
+      int *b_jacsq = busparams->jacsq_idx_dev_;
+      RAJA::forall<exago_raja_exec>(
+          RAJA::RangeSegment(0, busparams->nbus),
+          RAJA_LAMBDA(RAJA::Index_type i) {
+            jace_dev[perm_dev[b_jacsp[i]]] = 1.0;
+            jace_dev[perm_dev[b_jacsp[i]] + 1] = -1.0;
+            jace_dev[perm_dev[b_jacsq[i]]] = 1.0;
+            jace_dev[perm_dev[b_jacsq[i]] + 1] = -1.0;
+          });
+    }
+
+    int *g_eqjacspbus = genparams->eqjacspbus_idx_dev_;
+    int *g_eqjacsqbus = genparams->eqjacsqbus_idx_dev_;
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, genparams->ngenON),
+        RAJA_LAMBDA(RAJA::Index_type i) {
+          jace_dev[perm_dev[g_eqjacspbus[i]]] = -1.0;
+          jace_dev[perm_dev[g_eqjacsqbus[i]]] = -1.0;
+        });
+
+    if (opflow->include_loadloss_variables) {
+      int *l_jacsp = loadparams->jacsp_idx_dev_;
+      int *l_jacsq = loadparams->jacsq_idx_dev_;
+      RAJA::forall<exago_raja_exec>(
+          RAJA::RangeSegment(0, loadparams->nload),
+          RAJA_LAMBDA(RAJA::Index_type i) {
+            jace_dev[perm_dev[l_jacsp[i]]] = -1.0;
+            jace_dev[perm_dev[l_jacsq[i]]] = -1.0;
+          });
+    }
+
+    if (opflow->has_gensetpoint) {
+      int *g_eqjacspgen = genparams->eqjacspgen_idx_dev_;
+      int *g_isrenewable = genparams->isrenewable_dev_;
+      RAJA::forall<exago_raja_exec>(
+          RAJA::RangeSegment(0, genparams->ngenON),
+          RAJA_LAMBDA(RAJA::Index_type i) {
+            if (g_isrenewable[i])
+              return;
+            int base = g_eqjacspgen[i];
+            jace_dev[perm_dev[base + 0]] = -1.0;
+            jace_dev[perm_dev[base + 1]] = 1.0;
+            jace_dev[perm_dev[base + 2]] = 1.0;
+            jace_dev[perm_dev[base + 3]] = 1.0;
+          });
+    }
+  }
+
+  /*
+   * Kernel 2: Line contributions — diagonal via atomicAdd, off-diagonal
+   * via atomicAdd (for parallel lines sharing positions).
+   */
+  {
+    double *l_Gff = lineparams->Gff_dev_;
+    double *l_Bff = lineparams->Bff_dev_;
+    double *l_Gft = lineparams->Gft_dev_;
+    double *l_Bft = lineparams->Bft_dev_;
+    double *l_Gtf = lineparams->Gtf_dev_;
+    double *l_Btf = lineparams->Btf_dev_;
+    double *l_Gtt = lineparams->Gtt_dev_;
+    double *l_Btt = lineparams->Btt_dev_;
+    int *l_xidxf = lineparams->xidxf_dev_;
+    int *l_xidxt = lineparams->xidxt_dev_;
+    int *l_eqjacsp_idx = lineparams->eqjacsp_idx_dev_;
+    int *l_eqjacsp_diag = lineparams->eqjacsp_diag_idx_dev_;
+    int *l_isdcline = lineparams->isdcline_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, lineparams->nlineON),
+        RAJA_LAMBDA(RAJA::Index_type l) {
+          if (l_isdcline[l])
+            return;
+
+          double thetaf = x_dev[l_xidxf[l]];
+          double Vmf = x_dev[l_xidxf[l] + 1];
+          double thetat = x_dev[l_xidxt[l]];
+          double Vmt = x_dev[l_xidxt[l] + 1];
+          double thetaft = thetaf - thetat;
+          double thetatf = thetat - thetaf;
+
+          double Gff = l_Gff[l], Bff = l_Bff[l];
+          double Gft = l_Gft[l], Bft = l_Bft[l];
+          double Gtf = l_Gtf[l], Btf = l_Btf[l];
+          double Gtt = l_Gtt[l], Btt = l_Btt[l];
+
+          double sin_ft = sin(thetaft), cos_ft = cos(thetaft);
+          double sin_tf = sin(thetatf), cos_tf = cos(thetatf);
+
+          /* From-bus diagonal */
+          double dPf_dthetaf = Vmf * Vmt * (-Gft * sin_ft + Bft * cos_ft);
+          double dPf_dVmf =
+              2.0 * Gff * Vmf + Vmt * (Gft * cos_ft + Bft * sin_ft);
+          double dQf_dthetaf = Vmf * Vmt * (Bft * sin_ft + Gft * cos_ft);
+          double dQf_dVmf =
+              -2.0 * Bff * Vmf + Vmt * (-Bft * cos_ft + Gft * sin_ft);
+
+          int pfbase = l_eqjacsp_diag[4 * l + 0];
+          int qfbase = l_eqjacsp_diag[4 * l + 1];
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[pfbase + 0]],
+                                             dPf_dthetaf);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[pfbase + 1]],
+                                             dPf_dVmf);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[qfbase + 0]],
+                                             dQf_dthetaf);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[qfbase + 1]],
+                                             dQf_dVmf);
+
+          /* From-bus off-diagonal */
+          double dPf_dthetat = Vmf * Vmt * (Gft * sin_ft - Bft * cos_ft);
+          double dPf_dVmt = Vmf * (Gft * cos_ft + Bft * sin_ft);
+          double dQf_dthetat = Vmf * Vmt * (-Bft * sin_ft - Gft * cos_ft);
+          double dQf_dVmt = Vmf * (-Bft * cos_ft + Gft * sin_ft);
+
+          int obase = l_eqjacsp_idx[l];
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 0]],
+                                             dPf_dthetat);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 1]],
+                                             dPf_dVmt);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 2]],
+                                             dQf_dthetat);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 3]],
+                                             dQf_dVmt);
+
+          /* To-bus diagonal */
+          double dPt_dthetat = Vmt * Vmf * (-Gtf * sin_tf + Btf * cos_tf);
+          double dPt_dVmt =
+              2.0 * Gtt * Vmt + Vmf * (Gtf * cos_tf + Btf * sin_tf);
+          double dQt_dthetat = Vmt * Vmf * (Btf * sin_tf + Gtf * cos_tf);
+          double dQt_dVmt =
+              -2.0 * Btt * Vmt + Vmf * (-Btf * cos_tf + Gtf * sin_tf);
+
+          int ptbase = l_eqjacsp_diag[4 * l + 2];
+          int qtbase = l_eqjacsp_diag[4 * l + 3];
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[ptbase + 0]],
+                                             dPt_dthetat);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[ptbase + 1]],
+                                             dPt_dVmt);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[qtbase + 0]],
+                                             dQt_dthetat);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[qtbase + 1]],
+                                             dQt_dVmt);
+
+          /* To-bus off-diagonal */
+          double dPt_dthetaf = Vmt * Vmf * (Gtf * sin_tf - Btf * cos_tf);
+          double dPt_dVmf = Vmt * (Gtf * cos_tf + Btf * sin_tf);
+          double dQt_dthetaf = Vmt * Vmf * (-Btf * sin_tf - Gtf * cos_tf);
+          double dQt_dVmf = Vmt * (-Btf * cos_tf + Gtf * sin_tf);
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 4]],
+                                             dPt_dthetaf);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 5]],
+                                             dPt_dVmf);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 6]],
+                                             dQt_dthetaf);
+          RAJA::atomicAdd<RAJA::auto_atomic>(&jace_dev[perm_dev[obase + 7]],
+                                             dQt_dVmf);
+        });
+  }
+}
+
+void ComputeHessValuesGPU_PBPOLRAJAHIOPSPARSE(
+    OPFLOW opflow, const double *x_dev, const double *lambdae_dev,
+    const double *lambdai_dev, const int *perm_dev, double *hess_dev) {
+
+  PbpolModelRajaHiop *pbpolrajahiopsparse =
+      reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
+
+  PS ps = opflow->ps;
+  BUSParamsRajaHiop *busparams = &pbpolrajahiopsparse->busparams;
+  GENParamsRajaHiop *genparams = &pbpolrajahiopsparse->genparams;
+  LOADParamsRajaHiop *loadparams = &pbpolrajahiopsparse->loadparams;
+  LINEParamsRajaHiop *lineparams = &pbpolrajahiopsparse->lineparams;
+
+  /* Zero the Hessian values before accumulating */
+  RAJA::forall<exago_raja_exec>(
+      RAJA::RangeSegment(0, opflow->nnz_hesssp),
+      RAJA_LAMBDA(RAJA::Index_type i) { hess_dev[i] = 0.0; });
+
+  // Bus equality constraint Hessian (1 diagonal entry)
+  {
+    int *bus_gidx = busparams->gidx_dev_;
+    double *bus_gl = busparams->gl_dev_;
+    double *bus_bl = busparams->bl_dev_;
+    int *bus_hesssp_eq_idx = busparams->hesssp_eq_idx_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, busparams->nbus),
+        RAJA_LAMBDA(RAJA::Index_type ibus) {
+          int gloc = bus_gidx[ibus];
+
+          double lambdae_gloc = lambdae_dev[gloc];
+          double lambdae_gloc1 = lambdae_dev[gloc + 1];
+
+          double val = lambdae_gloc * (2.0 * bus_gl[ibus]) +
+                       lambdae_gloc1 * (-2.0 * bus_bl[ibus]);
+
+          hess_dev[perm_dev[bus_hesssp_eq_idx[ibus]]] += val;
+        });
+  }
+
+  // Line equality constraints Hessian (4x4, 10 upper triangular)
+  {
+    int *line_xidxf = lineparams->xidxf_dev_;
+    int *line_xidxt = lineparams->xidxt_dev_;
+    int *line_geqidxf = lineparams->geqidxf_dev_;
+    int *line_geqidxt = lineparams->geqidxt_dev_;
+    int *line_hesssp_eq_idx = lineparams->hesssp_eq_idx_dev_;
+
+    double *line_Gff = lineparams->Gff_dev_;
+    double *line_Bff = lineparams->Bff_dev_;
+    double *line_Gft = lineparams->Gft_dev_;
+    double *line_Bft = lineparams->Bft_dev_;
+    double *line_Gtf = lineparams->Gtf_dev_;
+    double *line_Btf = lineparams->Btf_dev_;
+    double *line_Gtt = lineparams->Gtt_dev_;
+    double *line_Btt = lineparams->Btt_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, lineparams->nlineON),
+        RAJA_LAMBDA(RAJA::Index_type iline) {
+          int xlocf = line_xidxf[iline];
+          int xloct = line_xidxt[iline];
+          int base = 10 * iline;
+
+          int glocf = line_geqidxf[iline];
+          int gloct = line_geqidxt[iline];
+
+          double lambdaPf = lambdae_dev[glocf];
+          double lambdaQf = lambdae_dev[glocf + 1];
+          double lambdaPt = lambdae_dev[gloct];
+          double lambdaQt = lambdae_dev[gloct + 1];
+
+          double thetaf = x_dev[xlocf];
+          double Vmf = x_dev[xlocf + 1];
+          double thetat = x_dev[xloct];
+          double Vmt = x_dev[xloct + 1];
+
+          double thetaft = thetaf - thetat;
+          double thetatf = thetat - thetaf;
+
+          double sin_thetaft = sin(thetaft);
+          double cos_thetaft = cos(thetaft);
+          double sin_thetatf = sin(thetatf);
+          double cos_thetatf = cos(thetatf);
+
+          double Gff = line_Gff[iline];
+          double Bff = line_Bff[iline];
+          double Gft = line_Gft[iline];
+          double Bft = line_Bft[iline];
+          double Gtf = line_Gtf[iline];
+          double Btf = line_Btf[iline];
+          double Gtt = line_Gtt[iline];
+          double Btt = line_Btt[iline];
+
+          /* dPf_dthetaf = Vmf*Vmt*(-Gft*sin_thetaft + Bft*cos_thetaft); */
+          double d2Pf_00 = -Vmf * Vmt * (Gft * cos_thetaft + Bft * sin_thetaft);
+          double d2Pf_01 = Vmt * (-Gft * sin_thetaft + Bft * cos_thetaft);
+          double d2Pf_02 = Vmf * Vmt * (Gft * cos_thetaft + Bft * sin_thetaft);
+          double d2Pf_03 = Vmf * (-Gft * sin_thetaft + Bft * cos_thetaft);
+
+          /* dPf_Vmf  = 2*Gff*Vmf + Vmt*(Gft*cos_thetaft + Bft*sin_thetaft); */
+          double d2Pf_11 = 2.0 * Gff;
+          double d2Pf_12 = Vmt * (Gft * sin_thetaft - Bft * cos_thetaft);
+          double d2Pf_13 = (Gft * cos_thetaft + Bft * sin_thetaft);
+
+          /* dPf_dthetat = Vmf*Vmt*(Gft*sin_thetaft - Bft*cos_thetaft); */
+          double d2Pf_22 = Vmf * Vmt * (-Gft * cos_thetaft - Bft * sin_thetaft);
+          double d2Pf_23 = Vmf * (Gft * sin_thetaft - Bft * cos_thetaft);
+
+          /* dPf_dVmt = Vmf*(Gft*cos_thetaft + Bft*sin_thetaft); */
+          double d2Pf_33 = 0.0;
+
+          /* dQf_dthetaf = Vmf*Vmt*(Bft*sin_thetaft + Gft*cos_thetaft); */
+          double d2Qf_00 = Vmf * Vmt * (Bft * cos_thetaft - Gft * sin_thetaft);
+          double d2Qf_01 = Vmt * (Bft * sin_thetaft + Gft * cos_thetaft);
+          double d2Qf_02 = Vmf * Vmt * (-Bft * cos_thetaft + Gft * sin_thetaft);
+          double d2Qf_03 = Vmf * (Bft * sin_thetaft + Gft * cos_thetaft);
+
+          /* dQf_dVmf = -2*Bff*Vmf + Vmt*(-Bft*cos_thetaft + Gft*sin_thetaft);
+           */
+          double d2Qf_11 = -2.0 * Bff;
+          double d2Qf_12 = Vmt * (-Bft * sin_thetaft - Gft * cos_thetaft);
+          double d2Qf_13 = (-Bft * cos_thetaft + Gft * sin_thetaft);
+
+          /* dQf_dthetat = Vmf*Vmt*(-Bft*sin_thetaft - Gft*cos_thetaft); */
+          double d2Qf_22 = Vmf * Vmt * (Bft * cos_thetaft - Gft * sin_thetaft);
+          double d2Qf_23 = Vmf * (-Bft * sin_thetaft - Gft * cos_thetaft);
+
+          /* dQf_dVmt = Vmf*(-Bft*cos_thetaft + Gft*sin_thetaft); */
+          double d2Qf_33 = 0.0;
+
+          /* dPt_dthetat = Vmf*Vmt*(-Gtf*sin_thetatf + Btf*cos_thetatf); */
+          double d2Pt_00 = Vmf * Vmt * (-Gtf * cos_thetatf - Btf * sin_thetatf);
+          double d2Pt_01 = Vmt * (Gtf * sin_thetatf - Btf * cos_thetatf);
+          double d2Pt_02 = Vmf * Vmt * (Gtf * cos_thetatf + Btf * sin_thetatf);
+          double d2Pt_03 = Vmf * (Gtf * sin_thetatf - Btf * cos_thetatf);
+
+          /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos_thetatf + Btf*sin_thetatf); */
+          double d2Pt_11 = 0.0;
+          double d2Pt_12 = Vmt * (-Gtf * sin_thetatf + Btf * cos_thetatf);
+          double d2Pt_13 = (Gtf * cos_thetatf + Btf * sin_thetatf);
+
+          /* dPt_dthetaf = Vmf*Vmt*(Gtf*sin_thetatf - Btf*cos_thetatf); */
+          double d2Pt_22 = Vmf * Vmt * (-Gtf * cos_thetatf - Btf * sin_thetatf);
+          double d2Pt_23 = Vmf * (-Gtf * sin_thetatf + Btf * cos_thetatf);
+
+          /* dPt_dVmf = Vmt*(Gtf*cos_thetatf + Btf*sin_thetatf); */
+          double d2Pt_33 = 2.0 * Gtt;
+
+          /* dQt_dthetaf = Vmf*Vmt*(-Btf*sin_thetatf - Gtf*cos_thetatf); */
+          double d2Qt_00 = Vmf * Vmt * (Btf * cos_thetatf - Gtf * sin_thetatf);
+          double d2Qt_01 = Vmt * (-Btf * sin_thetatf - Gtf * cos_thetatf);
+          double d2Qt_02 = Vmf * Vmt * (-Btf * cos_thetatf + Gtf * sin_thetatf);
+          double d2Qt_03 = Vmf * (-Btf * sin_thetatf - Gtf * cos_thetatf);
+
+          /* dQt_dVmf = Vmt*(-Btf*cos_thetatf + Gtf*sin_thetatf); */
+          double d2Qt_11 = 0.0;
+          double d2Qt_12 = Vmt * (Btf * sin_thetatf + Gtf * cos_thetatf);
+          double d2Qt_13 = (-Btf * cos_thetatf + Gtf * sin_thetatf);
+
+          /* dQt_dthetat = Vmf*Vmt*(Btf*sin_thetatf + Gtf*cos_thetatf); */
+          double d2Qt_22 = Vmf * Vmt * (Btf * cos_thetatf - Gtf * sin_thetatf);
+          double d2Qt_23 = Vmf * (Btf * sin_thetatf + Gtf * cos_thetatf);
+
+          /* dQt_dVmt = -2*Btt*Vmt + Vmf*(-Btf*cos_thetatf + Gtf*sin_thetatf);
+           */
+          double d2Qt_33 = -2.0 * Btt;
+
+          double H00 = lambdaPf * d2Pf_00 + lambdaQf * d2Qf_00 +
+                       lambdaPt * d2Pt_00 + lambdaQt * d2Qt_00;
+          double H01 = lambdaPf * d2Pf_01 + lambdaQf * d2Qf_01 +
+                       lambdaPt * d2Pt_01 + lambdaQt * d2Qt_01;
+          double H02 = lambdaPf * d2Pf_02 + lambdaQf * d2Qf_02 +
+                       lambdaPt * d2Pt_02 + lambdaQt * d2Qt_02;
+          double H03 = lambdaPf * d2Pf_03 + lambdaQf * d2Qf_03 +
+                       lambdaPt * d2Pt_03 + lambdaQt * d2Qt_03;
+
+          double H11 = lambdaPf * d2Pf_11 + lambdaQf * d2Qf_11 +
+                       lambdaPt * d2Pt_11 + lambdaQt * d2Qt_11;
+          double H12 = lambdaPf * d2Pf_12 + lambdaQf * d2Qf_12 +
+                       lambdaPt * d2Pt_12 + lambdaQt * d2Qt_12;
+          double H13 = lambdaPf * d2Pf_13 + lambdaQf * d2Qf_13 +
+                       lambdaPt * d2Pt_13 + lambdaQt * d2Qt_13;
+
+          double H22 = lambdaPf * d2Pf_22 + lambdaQf * d2Qf_22 +
+                       lambdaPt * d2Pt_22 + lambdaQt * d2Qt_22;
+          double H23 = lambdaPf * d2Pf_23 + lambdaQf * d2Qf_23 +
+                       lambdaPt * d2Pt_23 + lambdaQt * d2Qt_23;
+
+          double H33 = lambdaPf * d2Pf_33 + lambdaQf * d2Qf_33 +
+                       lambdaPt * d2Pt_33 + lambdaQt * d2Qt_33;
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 0]]], H00);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 1]]], H01);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 2]]], H02);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 3]]], H03);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 4]]], H11);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 5]]], H12);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 6]]], H13);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 7]]], H22);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 8]]], H23);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_eq_idx[base + 9]]], H33);
+        });
+  }
+
+  // Generator AGC inequality constraints Hessian (3 upper triangular entries)
+  if (opflow->has_gensetpoint && opflow->use_agc) {
+    int *gen_isrenewable = genparams->isrenewable_dev_;
+    int *gen_gineqidx = genparams->gineqidxgen_dev_;
+    double *gen_apf = genparams->apf_dev_;
+    int *gen_hesssp_ineq_idx = genparams->hesssp_ineq_idx_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, genparams->ngenON),
+        RAJA_LAMBDA(RAJA::Index_type g) {
+          if (gen_isrenewable[g])
+            return;
+
+          int gloc = gen_gineqidx[g];
+
+          double lambda0 = lambdai_dev[gloc];
+          double lambda1 = lambdai_dev[gloc + 1];
+          double lsum = lambda0 + lambda1;
+
+          int base = 3 * g;
+
+          double v_pg_pg = 0.0;
+          double v_pg_dev = -lsum;
+          double v_pg_dpsys = gen_apf[g] * lsum;
+
+          hess_dev[perm_dev[gen_hesssp_ineq_idx[base + 0]]] += v_pg_pg;
+          hess_dev[perm_dev[gen_hesssp_ineq_idx[base + 1]]] += v_pg_dev;
+          hess_dev[perm_dev[gen_hesssp_ineq_idx[base + 2]]] += v_pg_dpsys;
+        });
+  }
+
+  // Set voltage inequality constraints Hessian (1 entry)
+  if (opflow->genbusvoltagetype == FIXED_WITHIN_QBOUNDS) {
+    int *bus_ispv = busparams->ispv_dev_;
+    int *bus_isref = busparams->isref_dev_;
+    int *bus_gineqidx = busparams->gineqidx_dev_;
+    int *bus_genoffset = busparams->genoffset_dev_;
+    int *bus_ngenONbus = busparams->ngenONbus_dev_;
+
+    int *bus_hesssp_ineq_idx = busparams->hesssp_ineq_idx_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, busparams->nbus),
+        RAJA_LAMBDA(RAJA::Index_type ibus) {
+          if (!(bus_ispv[ibus] || bus_isref[ibus]))
+            return;
+
+          int gloc = bus_gineqidx[ibus];
+
+          double lambda0 = lambdai_dev[gloc];
+          double lambda1 = lambdai_dev[gloc + 1];
+          double v = -(lambda0 + lambda1);
+
+          int goff = bus_genoffset[ibus];
+          int ngen = bus_ngenONbus[ibus];
+
+          for (int k = 0; k < ngen; ++k) {
+            int g = goff + k;
+
+            hess_dev[perm_dev[bus_hesssp_ineq_idx[g]]] += v;
+          }
+        });
+  }
+
+  // Line inequality constraints Hessian (4x4, 10 upper triangular)
+  {
+    int *line_xidxf = lineparams->xidxf_dev_;
+    int *line_xidxt = lineparams->xidxt_dev_;
+    int *line_linelimidx = lineparams->linelimidx_dev_;
+    int *line_isdcline = lineparams->isdcline_dev_;
+    int *line_gineqidx = lineparams->gineqidx_dev_;
+    int *line_hesssp_ineq_idx = lineparams->hesssp_ineq_idx_dev_;
+
+    double *line_Gff = lineparams->Gff_dev_;
+    double *line_Bff = lineparams->Bff_dev_;
+    double *line_Gft = lineparams->Gft_dev_;
+    double *line_Bft = lineparams->Bft_dev_;
+    double *line_Gtf = lineparams->Gtf_dev_;
+    double *line_Btf = lineparams->Btf_dev_;
+    double *line_Gtt = lineparams->Gtt_dev_;
+    double *line_Btt = lineparams->Btt_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, lineparams->nlinelim),
+        RAJA_LAMBDA(RAJA::Index_type imon) {
+          int iline = line_linelimidx[imon];
+          if (line_isdcline[iline])
+            return;
+
+          int xlocf = line_xidxf[iline];
+          int xloct = line_xidxt[iline];
+          int base = 10 * imon;
+
+          int gloc = line_gineqidx[imon];
+
+          double lambdai_gloc = lambdai_dev[gloc];
+          double lambdai_gloc1 = lambdai_dev[gloc + 1];
+
+          double thetaf = x_dev[xlocf];
+          double Vmf = x_dev[xlocf + 1];
+          double thetat = x_dev[xloct];
+          double Vmt = x_dev[xloct + 1];
+
+          double thetaft = thetaf - thetat;
+          double thetatf = thetat - thetaf;
+
+          double sin_thetaft = sin(thetaft);
+          double cos_thetaft = cos(thetaft);
+          double sin_thetatf = sin(thetatf);
+          double cos_thetatf = cos(thetatf);
+
+          double Gff = line_Gff[iline];
+          double Bff = line_Bff[iline];
+          double Gft = line_Gft[iline];
+          double Bft = line_Bft[iline];
+          double Gtf = line_Gtf[iline];
+          double Btf = line_Btf[iline];
+          double Gtt = line_Gtt[iline];
+          double Btt = line_Btt[iline];
+
+          double Pf = Gff * Vmf * Vmf +
+                      Vmf * Vmt * (Gft * cos_thetaft + Bft * sin_thetaft);
+          double Qf = -Bff * Vmf * Vmf +
+                      Vmf * Vmt * (-Bft * cos_thetaft + Gft * sin_thetaft);
+
+          double Pt = Gtt * Vmt * Vmt +
+                      Vmt * Vmf * (Gtf * cos_thetatf + Btf * sin_thetatf);
+          double Qt = -Btt * Vmt * Vmt +
+                      Vmt * Vmf * (-Btf * cos_thetatf + Gtf * sin_thetatf);
+
+          double dPf_dthetaf =
+              Vmf * Vmt * (-Gft * sin_thetaft + Bft * cos_thetaft);
+          double dPf_dVmf =
+              2.0 * Gff * Vmf + Vmt * (Gft * cos_thetaft + Bft * sin_thetaft);
+          double dPf_dthetat =
+              Vmf * Vmt * (Gft * sin_thetaft - Bft * cos_thetaft);
+          double dPf_dVmt = Vmf * (Gft * cos_thetaft + Bft * sin_thetaft);
+
+          double dQf_dthetaf =
+              Vmf * Vmt * (Bft * sin_thetaft + Gft * cos_thetaft);
+          double dQf_dVmf =
+              -2.0 * Bff * Vmf + Vmt * (-Bft * cos_thetaft + Gft * sin_thetaft);
+          double dQf_dthetat =
+              Vmf * Vmt * (-Bft * sin_thetaft - Gft * cos_thetaft);
+          double dQf_dVmt = Vmf * (-Bft * cos_thetaft + Gft * sin_thetaft);
+
+          double dPt_dthetat =
+              Vmt * Vmf * (-Gtf * sin_thetatf + Btf * cos_thetatf);
+          double dPt_dVmt =
+              2.0 * Gtt * Vmt + Vmf * (Gtf * cos_thetatf + Btf * sin_thetatf);
+          double dPt_dthetaf =
+              Vmt * Vmf * (Gtf * sin_thetatf - Btf * cos_thetatf);
+          double dPt_dVmf = Vmt * (Gtf * cos_thetatf + Btf * sin_thetatf);
+
+          double dQt_dthetat =
+              Vmt * Vmf * (Btf * sin_thetatf + Gtf * cos_thetatf);
+          double dQt_dVmt =
+              -2.0 * Btt * Vmt + Vmf * (-Btf * cos_thetatf + Gtf * sin_thetatf);
+          double dQt_dthetaf =
+              Vmt * Vmf * (-Btf * sin_thetatf - Gtf * cos_thetatf);
+          double dQt_dVmf = Vmt * (-Btf * cos_thetatf + Gtf * sin_thetatf);
+
+          /* dPf_dthetaf = Vmf*Vmt*(-Gft*sin_thetaft + Bft*cos_thetaft); */
+          double d2Pf_dthetaf_dthetaf =
+              -Vmf * Vmt * (Gft * cos_thetaft + Bft * sin_thetaft);
+          double d2Pf_dthetaf_dVmf =
+              Vmt * (-Gft * sin_thetaft + Bft * cos_thetaft);
+          double d2Pf_dthetaf_dthetat =
+              Vmf * Vmt * (Gft * cos_thetaft + Bft * sin_thetaft);
+          double d2Pf_dthetaf_dVmt =
+              Vmf * (-Gft * sin_thetaft + Bft * cos_thetaft);
+
+          /* dPf_Vmf  = 2*Gff*Vmf + Vmt*(Gft*cos_thetaft + Bft*sin_thetaft); */
+          double d2Pf_dVmf_dVmf = 2.0 * Gff;
+          double d2Pf_dVmf_dthetat =
+              Vmt * (Gft * sin_thetaft - Bft * cos_thetaft);
+          double d2Pf_dVmf_dVmt = (Gft * cos_thetaft + Bft * sin_thetaft);
+
+          /* dPf_dthetat = Vmf*Vmt*(Gft*sin_thetaft - Bft*cos_thetaft); */
+          double d2Pf_dthetat_dthetat =
+              Vmf * Vmt * (-Gft * cos_thetaft - Bft * sin_thetaft);
+          double d2Pf_dthetat_dVmt =
+              Vmf * (Gft * sin_thetaft - Bft * cos_thetaft);
+
+          /* dPf_dVmt = Vmf*(Gft*cos_thetaft + Bft*sin_thetaft); */
+          double d2Pf_dVmt_dVmt = 0.0;
+
+          /* dQf_dthetaf = Vmf*Vmt*(Bft*sin_thetaft + Gft*cos_thetaft); */
+          double d2Qf_dthetaf_dthetaf =
+              Vmf * Vmt * (Bft * cos_thetaft - Gft * sin_thetaft);
+          double d2Qf_dthetaf_dVmf =
+              Vmt * (Bft * sin_thetaft + Gft * cos_thetaft);
+          double d2Qf_dthetaf_dthetat =
+              Vmf * Vmt * (-Bft * cos_thetaft + Gft * sin_thetaft);
+          double d2Qf_dthetaf_dVmt =
+              Vmf * (Bft * sin_thetaft + Gft * cos_thetaft);
+
+          /* dQf_dVmf = -2*Bff*Vmf + Vmt*(-Bft*cos_thetaft + Gft*sin_thetaft);
+           */
+          double d2Qf_dVmf_dVmf = -2.0 * Bff;
+          double d2Qf_dVmf_dthetat =
+              Vmt * (-Bft * sin_thetaft - Gft * cos_thetaft);
+          double d2Qf_dVmf_dVmt = (-Bft * cos_thetaft + Gft * sin_thetaft);
+
+          /* dQf_dthetat = Vmf*Vmt*(-Bft*sin_thetaft - Gft*cos_thetaft); */
+          double d2Qf_dthetat_dthetat =
+              Vmf * Vmt * (Bft * cos_thetaft - Gft * sin_thetaft);
+          double d2Qf_dthetat_dVmt =
+              Vmf * (-Bft * sin_thetaft - Gft * cos_thetaft);
+
+          /* dQf_dVmt = Vmf*(-Bft*cos_thetaft + Gft*sin_thetaft); */
+          double d2Qf_dVmt_dVmt = 0.0;
+
+          /* dPt_dthetat = Vmf*Vmt*(-Gtf*sin_thetatf + Btf*cos_thetatf); */
+          double d2Pt_dthetat_dthetat =
+              Vmf * Vmt * (-Gtf * cos_thetatf - Btf * sin_thetatf);
+          double d2Pt_dthetat_dVmt =
+              Vmf * (-Gtf * sin_thetatf + Btf * cos_thetatf);
+
+          /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos_thetatf + Btf*sin_thetatf); */
+          double d2Pt_dVmt_dVmt = 2.0 * Gtt;
+
+          /* dPt_dthetaf = Vmf*Vmt*(Gtf*sin_thetatf - Btf*cos_thetatf); */
+          double d2Pt_dthetaf_dthetat =
+              Vmf * Vmt * (Gtf * cos_thetatf + Btf * sin_thetatf);
+          double d2Pt_dthetaf_dVmt =
+              Vmf * (Gtf * sin_thetatf - Btf * cos_thetatf);
+          double d2Pt_dthetaf_dthetaf =
+              Vmf * Vmt * (-Gtf * cos_thetatf - Btf * sin_thetatf);
+          double d2Pt_dthetaf_dVmf =
+              Vmt * (Gtf * sin_thetatf - Btf * cos_thetatf);
+
+          /* dPt_dVmf = Vmt*(Gtf*cos_thetatf + Btf*sin_thetatf); */
+          double d2Pt_dVmf_dthetat =
+              Vmt * (-Gtf * sin_thetatf + Btf * cos_thetatf);
+          double d2Pt_dVmf_dVmt = (Gtf * cos_thetatf + Btf * sin_thetatf);
+          double d2Pt_dVmf_dVmf = 0.0;
+
+          /* dQt_dthetat = Vmf*Vmt*(Btf*sin_thetatf + Gtf*cos_thetatf); */
+          double d2Qt_dthetat_dthetat =
+              Vmf * Vmt * (Btf * cos_thetatf - Gtf * sin_thetatf);
+          double d2Qt_dthetat_dVmt =
+              Vmf * (Btf * sin_thetatf + Gtf * cos_thetatf);
+
+          /* dQt_dVmt = -2*Btt*Vmt + Vmf*(-Btf*cos_thetatf + Gtf*sin_thetatf);
+           */
+          double d2Qt_dVmt_dVmt = -2.0 * Btt;
+
+          /* dQt_dthetaf = Vmf*Vmt*(-Btf*sin_thetatf - Gtf*cos_thetatf); */
+          double d2Qt_dthetaf_dthetat =
+              Vmf * Vmt * (-Btf * cos_thetatf + Gtf * sin_thetatf);
+          double d2Qt_dthetaf_dVmt =
+              Vmf * (-Btf * sin_thetatf - Gtf * cos_thetatf);
+          double d2Qt_dthetaf_dthetaf =
+              Vmf * Vmt * (Btf * cos_thetatf - Gtf * sin_thetatf);
+          double d2Qt_dthetaf_dVmf =
+              Vmt * (-Btf * sin_thetatf - Gtf * cos_thetatf);
+
+          /* dQt_dVmf = Vmt*(-Btf*cos_thetatf + Gtf*sin_thetatf); */
+          double d2Qt_dVmf_dthetat =
+              Vmt * (Btf * sin_thetatf + Gtf * cos_thetatf);
+          double d2Qt_dVmf_dVmt = (-Btf * cos_thetatf + Gtf * sin_thetatf);
+          double d2Qt_dVmf_dVmf = 0.0;
+
+          double dSf2_dPf = 2.0 * Pf;
+          double dSf2_dQf = 2.0 * Qf;
+          double dSt2_dPt = 2.0 * Pt;
+          double dSt2_dQt = 2.0 * Qt;
+
+          double d2Sf2_00 = 2.0 * dPf_dthetaf * dPf_dthetaf +
+                            dSf2_dPf * d2Pf_dthetaf_dthetaf +
+                            2.0 * dQf_dthetaf * dQf_dthetaf +
+                            dSf2_dQf * d2Qf_dthetaf_dthetaf;
+          double d2Sf2_01 =
+              2.0 * dPf_dVmf * dPf_dthetaf + dSf2_dPf * d2Pf_dthetaf_dVmf +
+              2.0 * dQf_dVmf * dQf_dthetaf + dSf2_dQf * d2Qf_dthetaf_dVmf;
+          double d2Sf2_02 = 2.0 * dPf_dthetat * dPf_dthetaf +
+                            dSf2_dPf * d2Pf_dthetaf_dthetat +
+                            2.0 * dQf_dthetat * dQf_dthetaf +
+                            dSf2_dQf * d2Qf_dthetaf_dthetat;
+          double d2Sf2_03 =
+              2.0 * dPf_dVmt * dPf_dthetaf + dSf2_dPf * d2Pf_dthetaf_dVmt +
+              2.0 * dQf_dVmt * dQf_dthetaf + dSf2_dQf * d2Qf_dthetaf_dVmt;
+
+          double d2Sf2_11 =
+              2.0 * dPf_dVmf * dPf_dVmf + dSf2_dPf * d2Pf_dVmf_dVmf +
+              2.0 * dQf_dVmf * dQf_dVmf + dSf2_dQf * d2Qf_dVmf_dVmf;
+          double d2Sf2_12 =
+              2.0 * dPf_dthetat * dPf_dVmf + dSf2_dPf * d2Pf_dVmf_dthetat +
+              2.0 * dQf_dthetat * dQf_dVmf + dSf2_dQf * d2Qf_dVmf_dthetat;
+          double d2Sf2_13 =
+              2.0 * dPf_dVmt * dPf_dVmf + dSf2_dPf * d2Pf_dVmf_dVmt +
+              2.0 * dQf_dVmt * dQf_dVmf + dSf2_dQf * d2Qf_dVmf_dVmt;
+
+          double d2Sf2_22 = 2.0 * dPf_dthetat * dPf_dthetat +
+                            dSf2_dPf * d2Pf_dthetat_dthetat +
+                            2.0 * dQf_dthetat * dQf_dthetat +
+                            dSf2_dQf * d2Qf_dthetat_dthetat;
+          double d2Sf2_23 =
+              2.0 * dPf_dVmt * dPf_dthetat + dSf2_dPf * d2Pf_dthetat_dVmt +
+              2.0 * dQf_dVmt * dQf_dthetat + dSf2_dQf * d2Qf_dthetat_dVmt;
+
+          double d2Sf2_33 =
+              2.0 * dPf_dVmt * dPf_dVmt + dSf2_dPf * d2Pf_dVmt_dVmt +
+              2.0 * dQf_dVmt * dQf_dVmt + dSf2_dQf * d2Qf_dVmt_dVmt;
+
+          double d2St2_00 = 2.0 * dPt_dthetaf * dPt_dthetaf +
+                            dSt2_dPt * d2Pt_dthetaf_dthetaf +
+                            2.0 * dQt_dthetaf * dQt_dthetaf +
+                            dSt2_dQt * d2Qt_dthetaf_dthetaf;
+          double d2St2_01 =
+              2.0 * dPt_dVmf * dPt_dthetaf + dSt2_dPt * d2Pt_dthetaf_dVmf +
+              2.0 * dQt_dVmf * dQt_dthetaf + dSt2_dQt * d2Qt_dthetaf_dVmf;
+          double d2St2_02 = 2.0 * dPt_dthetat * dPt_dthetaf +
+                            dSt2_dPt * d2Pt_dthetaf_dthetat +
+                            2.0 * dQt_dthetat * dQt_dthetaf +
+                            dSt2_dQt * d2Qt_dthetaf_dthetat;
+          double d2St2_03 =
+              2.0 * dPt_dVmt * dPt_dthetaf + dSt2_dPt * d2Pt_dthetaf_dVmt +
+              2.0 * dQt_dVmt * dQt_dthetaf + dSt2_dQt * d2Qt_dthetaf_dVmt;
+
+          double d2St2_11 =
+              2.0 * dPt_dVmf * dPt_dVmf + dSt2_dPt * d2Pt_dVmf_dVmf +
+              2.0 * dQt_dVmf * dQt_dVmf + dSt2_dQt * d2Qt_dVmf_dVmf;
+          double d2St2_12 =
+              2.0 * dPt_dthetat * dPt_dVmf + dSt2_dPt * d2Pt_dVmf_dthetat +
+              2.0 * dQt_dthetat * dQt_dVmf + dSt2_dQt * d2Qt_dVmf_dthetat;
+          double d2St2_13 =
+              2.0 * dPt_dVmt * dPt_dVmf + dSt2_dPt * d2Pt_dVmf_dVmt +
+              2.0 * dQt_dVmt * dQt_dVmf + dSt2_dQt * d2Qt_dVmf_dVmt;
+
+          double d2St2_22 = 2.0 * dPt_dthetat * dPt_dthetat +
+                            dSt2_dPt * d2Pt_dthetat_dthetat +
+                            2.0 * dQt_dthetat * dQt_dthetat +
+                            dSt2_dQt * d2Qt_dthetat_dthetat;
+          double d2St2_23 =
+              2.0 * dPt_dVmt * dPt_dthetat + dSt2_dPt * d2Pt_dthetat_dVmt +
+              2.0 * dQt_dVmt * dQt_dthetat + dSt2_dQt * d2Qt_dthetat_dVmt;
+
+          double d2St2_33 =
+              2.0 * dPt_dVmt * dPt_dVmt + dSt2_dPt * d2Pt_dVmt_dVmt +
+              2.0 * dQt_dVmt * dQt_dVmt + dSt2_dQt * d2Qt_dVmt_dVmt;
+
+          double H00 = lambdai_gloc * d2Sf2_00 + lambdai_gloc1 * d2St2_00;
+          double H01 = lambdai_gloc * d2Sf2_01 + lambdai_gloc1 * d2St2_01;
+          double H02 = lambdai_gloc * d2Sf2_02 + lambdai_gloc1 * d2St2_02;
+          double H03 = lambdai_gloc * d2Sf2_03 + lambdai_gloc1 * d2St2_03;
+          double H11 = lambdai_gloc * d2Sf2_11 + lambdai_gloc1 * d2St2_11;
+          double H12 = lambdai_gloc * d2Sf2_12 + lambdai_gloc1 * d2St2_12;
+          double H13 = lambdai_gloc * d2Sf2_13 + lambdai_gloc1 * d2St2_13;
+          double H22 = lambdai_gloc * d2Sf2_22 + lambdai_gloc1 * d2St2_22;
+          double H23 = lambdai_gloc * d2Sf2_23 + lambdai_gloc1 * d2St2_23;
+          double H33 = lambdai_gloc * d2Sf2_33 + lambdai_gloc1 * d2St2_33;
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 0]]], H00);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 1]]], H01);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 2]]], H02);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 3]]], H03);
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 4]]], H11);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 5]]], H12);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 6]]], H13);
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 7]]], H22);
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 8]]], H23);
+
+          RAJA::atomicAdd<RAJA::auto_atomic>(
+              &hess_dev[perm_dev[line_hesssp_ineq_idx[base + 9]]], H33);
+        });
+  }
+
+  // Power-imbalance objective Hessian (2 diagonal entries)
+  if (opflow->include_powerimbalance_variables) {
+    int *bus_hesssp_obj_idx = busparams->hesssp_obj_idx_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, busparams->nbus),
+        RAJA_LAMBDA(RAJA::Index_type ibus) {
+          int base = 2 * ibus;
+          hess_dev[perm_dev[bus_hesssp_obj_idx[base + 0]]] += 0.0;
+          hess_dev[perm_dev[bus_hesssp_obj_idx[base + 1]]] += 0.0;
+        });
+  }
+
+  // Gen objective Hessian (1 diagonal entry)
+  {
+    double obj_factor = opflow->obj_factor;
+    double weight = opflow->weight;
+    double MVAbase = ps->MVAbase;
+
+    double *gen_cost_alpha = genparams->cost_alpha_dev_;
+    int *gen_hesssp_obj_idx = genparams->hesssp_obj_idx_dev_;
+
+    if (opflow->objectivetype == MIN_GEN_COST) {
+      RAJA::forall<exago_raja_exec>(
+          RAJA::RangeSegment(0, genparams->ngenON),
+          RAJA_LAMBDA(RAJA::Index_type igen) {
+            double val = weight * obj_factor * 2.0 * gen_cost_alpha[igen] *
+                         MVAbase * MVAbase;
+            hess_dev[perm_dev[gen_hesssp_obj_idx[igen]]] += val;
+          });
+    } else if (opflow->objectivetype == MIN_GENSETPOINT_DEVIATION) {
+      RAJA::forall<exago_raja_exec>(
+          RAJA::RangeSegment(0, genparams->ngenON),
+          RAJA_LAMBDA(RAJA::Index_type igen) {
+            double val = weight * obj_factor * 2.0;
+            hess_dev[perm_dev[gen_hesssp_obj_idx[igen]]] += val;
+          });
+    }
+  }
+
+  // Load objective Hessian (2 diagonal entries)
+  if (opflow->include_loadloss_variables) {
+    int *load_hesssp_obj_idx = loadparams->hesssp_obj_idx_dev_;
+
+    RAJA::forall<exago_raja_exec>(
+        RAJA::RangeSegment(0, loadparams->nload),
+        RAJA_LAMBDA(RAJA::Index_type iload) {
+          int base = 2 * iload;
+          hess_dev[perm_dev[load_hesssp_obj_idx[base + 0]]] += 0.0;
+          hess_dev[perm_dev[load_hesssp_obj_idx[base + 1]]] += 0.0;
+        });
+  }
+}
+
+#endif // EXAGO_ENABLE_HIOP_SPARSE
+#endif // EXAGO_ENABLE_RAJA
diff --git a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse_gpu.hpp b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse_gpu.hpp
new file mode 100644
index 00000000..c946aa0a
--- /dev/null
+++ b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparse_gpu.hpp
@@ -0,0 +1,45 @@
+#include <exago_config.h>
+
+#if defined(EXAGO_ENABLE_RAJA)
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
+
+#pragma once
+
+#include <private/opflowimpl.h>
+#include "pbpolrajahiopsparse.hpp"
+
+/**
+ * GPU-only (PETSc-free) computation of inequality constraint Jacobian values.
+ *
+ * Replaces the PETSc-based path that calls
+ * opflow->modelops.computeinequalityconstraintjacobian followed by
+ * MatGetRow extraction. Writes directly into device memory using RAJA
+ * kernels, without PETSc Mat/Vec operations; no H2D, D2H copies back and forth.
+ *
+ * @param opflow     The OPFLOW problem context
+ * @param x_dev      Device array of variable values
+ * @param jacd_dev   Device output array for inequality Jacobian values
+ *                   (points to the ineq portion of the sparse Jacobian,
+ *                    i.e. MJacS_dev + nnz_eqjacsp)
+ */
+void ComputeIneqJacValuesGPU_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
+                                                 const double *x_dev,
+                                                 double *jacd_dev);
+
+/**
+ * GPU-only (PETSc-free) computation of equality constraint Jacobian values.
+ */
+void ComputeEqJacValuesGPU_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
+                                               const double *x_dev,
+                                               const int *perm_dev,
+                                               double *jace_dev);
+
+/**
+ * GPU-only (PETSc-free) computation of hessians values.
+ */
+void ComputeHessValuesGPU_PBPOLRAJAHIOPSPARSE(
+    OPFLOW opflow, const double *x_dev, const double *lambdae_dev,
+    const double *lambdai_dev, const int *perm_dev, double *hess_dev);
+
+#endif // EXAGO_ENABLE_HIOP_SPARSE
+#endif // EXAGO_ENABLE_RAJA
diff --git a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.cpp b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.cpp
index adc10c8e..2326a61c 100644
--- a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.cpp
+++ b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.cpp
@@ -14,7 +14,21 @@
 #include <private/opflowimpl.h>
 #include "pbpolrajahiopsparsekernels.hpp"
 #include "pbpolrajahiopsparse.hpp"
-
+#include "pbpolrajahiopsparse_gpu.hpp"
+
+#include <algorithm>
+#include <numeric>
+#include <vector>
+
+/**
+ * @brief Set the initial guess array for the PBPOLRAJAHIOPSPARSE model.
+ *
+ * Sets the inital guess on the host and copies it to `x0_dev`.
+ *
+ * @param opflow The OPFLOW object.
+ * @param x0_dev The device array for the initial guess.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode OPFLOWSetInitialGuessArray_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
                                                               double *x0_dev) {
   PetscErrorCode ierr;
@@ -43,6 +57,17 @@ PetscErrorCode OPFLOWSetInitialGuessArray_PBPOLRAJAHIOPSPARSE(OPFLOW opflow,
   PetscFunctionReturn(0);
 }
 
+/**
+ * @brief Set the variable bounds arrays for the PBPOLRAJAHIOPSPARSE model.
+ *
+ * Sets lower and upper variable bounds on the host and copies them to `xl_dev`
+ * and `xu_dev`, respectively.
+ *
+ * @param opflow The OPFLOW object.
+ * @param xl_dev The device array for the lower constraint bounds.
+ * @param xu_dev The device array for the upper constraint bounds.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode
 OPFLOWSetVariableBoundsArray_PBPOLRAJAHIOPSPARSE(OPFLOW opflow, double *xl_dev,
                                                  double *xu_dev) {
@@ -75,6 +100,17 @@ OPFLOWSetVariableBoundsArray_PBPOLRAJAHIOPSPARSE(OPFLOW opflow, double *xl_dev,
   PetscFunctionReturn(0);
 }
 
+/**
+ * @brief Set the constraint bounds arrays for the PBPOLRAJAHIOPSPARSE model.
+ *
+ * Sets the constraint bounds on the host and copies them to `gl_dev` and
+ * `gu_dev`.
+ *
+ * @param opflow The OPFLOW object.
+ * @param gl_dev The device array for the lower constraint bounds.
+ * @param gu_dev The device array for the upper constraint bounds.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode OPFLOWSetConstraintBoundsArray_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, double *gl_dev, double *gu_dev) {
 
@@ -110,11 +146,24 @@ PetscErrorCode OPFLOWSetConstraintBoundsArray_PBPOLRAJAHIOPSPARSE(
   PetscFunctionReturn(0);
 }
 
-/** EQUALITY CONSTRAINTS */
+/**
+ * @brief Compute the equality constraints residual for the PBPOLRAJAHIOPSPARSE
+ * model.
+ *
+ * Computes the equality constraints on the device using the current iterate
+ * `x_dev` and stores the result in `ge_dev`.
+ *
+ * @param opflow The OPFLOW object.
+ * @param x_dev The device array for the current solutioniterate.
+ * @param ge_dev The device array for the equality constraint residuals.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode OPFLOWComputeEqualityConstraintsArray_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, const double *x_dev, double *ge_dev) {
   PbpolModelRajaHiop *pbpolrajahiopsparse =
       reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
+
+  // Get device pointers for model parameters
   BUSParamsRajaHiop *busparams = &pbpolrajahiopsparse->busparams;
   GENParamsRajaHiop *genparams = &pbpolrajahiopsparse->genparams;
   LOADParamsRajaHiop *loadparams = &pbpolrajahiopsparse->loadparams;
@@ -128,7 +177,7 @@ PetscErrorCode OPFLOWComputeEqualityConstraintsArray_PBPOLRAJAHIOPSPARSE(
   PetscFunctionBegin;
   //  PetscPrintf(MPI_COMM_SELF,"Entered Equality constraints\n");
 
-  // Zero out array
+  // Zero out array with constraint residuals
   auto &resmgr = umpire::ResourceManager::getInstance();
   resmgr.memset(ge_dev, 0, opflow->nconeq * sizeof(double));
 
@@ -263,7 +312,18 @@ PetscErrorCode OPFLOWComputeEqualityConstraintsArray_PBPOLRAJAHIOPSPARSE(
   PetscFunctionReturn(0);
 }
 
-/** INEQUALITY CONSTRAINTS **/
+/**
+ * @brief Compute the inequality constraints residual for the
+ * PBPOLRAJAHIOPSPARSE model.
+ *
+ * Computes the inequality constraints on the device using the current solution
+ * iterate `x_dev` and stores the result in `gi_dev`.
+ *
+ * @param opflow The OPFLOW object.
+ * @param x_dev The device array for the current solution iterate.
+ * @param gi_dev The device array for the inequality constraint residuals.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode OPFLOWComputeInequalityConstraintsArray_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, const double *x_dev, double *gi_dev) {
   PbpolModelRajaHiop *pbpolrajahiopsparse =
@@ -275,7 +335,7 @@ PetscErrorCode OPFLOWComputeInequalityConstraintsArray_PBPOLRAJAHIOPSPARSE(
   PetscFunctionBegin;
   //  PetscPrintf(MPI_COMM_SELF,"Entered Inequality Constraints\n");
 
-  // Zero out array
+  // Zero out residual array
   auto &resmgr = umpire::ResourceManager::getInstance();
   resmgr.memset(gi_dev, 0, opflow->nconineq * sizeof(double));
 
@@ -329,10 +389,24 @@ PetscErrorCode OPFLOWComputeInequalityConstraintsArray_PBPOLRAJAHIOPSPARSE(
   PetscFunctionReturn(0);
 }
 
-/** OBJECTIVE FUNCTION **/
-// Note: This kernel (and all the kernels for this model assume that the data
-// has been already allocated on the device. x_dev is pointer to array on the
-// GPU
+/** @brief Compute the objective function value for the PBPOLRAJAHIOPSPARSE
+ * model.
+ *
+ * Computes the objective function value on the device using the current
+ * solution iterate `x_dev` and stores the result in `obj`.
+ *
+ * @param[inout] opflow The OPFLOW object.
+ * @param[in] x_dev The device array for the current solution iterate.
+ * @param[out] obj The pointer to the scalar with the objective function value.
+ * @return PetscErrorCode indicating success or failure.
+ *
+ * @note This kernel (and all the kernels for this model assume that the data
+ * has been already allocated on the device. x_dev is pointer to array on the
+ * GPU.
+ *
+ * @todo We need to figure out how to manage PetscScalar vs double types in
+ * these kernels.
+ */
 PetscErrorCode OPFLOWComputeObjectiveArray_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, const double *x_dev, double *obj) {
   PbpolModelRajaHiop *pbpolrajahiopsparse =
@@ -356,10 +430,10 @@ PetscErrorCode OPFLOWComputeObjectiveArray_PBPOLRAJAHIOPSPARSE(
   int *l_xidx = loadparams->xidx_dev_;
   int *b_xidxpimb = busparams->xidxpimb_dev_;
 
-  /* Generator objective function contributions */
   // Set up reduce sum object
   RAJA::ReduceSum<exago_raja_reduce, double> obj_val_sum(0.0);
-  // Compute reduction on CUDA device
+
+  // Generation cost contributions to the objective function
   RAJA::forall<exago_raja_exec>(
       RAJA::RangeSegment(0, genparams->ngenON),
       RAJA_LAMBDA(RAJA::Index_type i) {
@@ -368,6 +442,7 @@ PetscErrorCode OPFLOWComputeObjectiveArray_PBPOLRAJAHIOPSPARSE(
                                         cost_beta[i] * Pg + cost_gamma[i]);
       });
 
+  // Load loss contributions to the objective function
   if (opflow->include_loadloss_variables) {
     RAJA::forall<exago_raja_exec>(
         RAJA::RangeSegment(0, loadparams->nload),
@@ -392,6 +467,7 @@ PetscErrorCode OPFLOWComputeObjectiveArray_PBPOLRAJAHIOPSPARSE(
         });
   }
 
+  // Copy value of the sum reduction to the output value.
   *obj = static_cast<double>(obj_val_sum.get());
   ierr = PetscLogFlops(genparams->ngenON * 8.0);
   CHKERRQ(ierr);
@@ -400,7 +476,17 @@ PetscErrorCode OPFLOWComputeObjectiveArray_PBPOLRAJAHIOPSPARSE(
   PetscFunctionReturn(0);
 }
 
-/** GRADIENT **/
+/** @brief Compute the gradient of the objective function for the
+ * PBPOLRAJAHIOPSPARSE model.
+ *
+ * Computes the objective function gradient on the device using the
+ * current solution iterate `x_dev` and stores the result in `grad_dev`.
+ *
+ * @param opflow The OPFLOW object.
+ * @param x_dev The device array with the current solution iterate.
+ * @param grad_dev The device array for the objective function gradient.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode OPFLOWComputeGradientArray_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, const double *x_dev, double *grad_dev) {
   PbpolModelRajaHiop *pbpolrajahiopsparse =
@@ -468,6 +554,23 @@ PetscErrorCode OPFLOWComputeGradientArray_PBPOLRAJAHIOPSPARSE(
   PetscFunctionReturn(0);
 }
 
+/**
+ * @brief Compute the Jacobian of the inequality constraints for the
+ * PBPOLRAJAHIOPSPARSE model.
+ *
+ * Takes current iterate of the solution vector x_dev and computes the
+ * Jacobian of the inequality constraints. The solution is stored in triplet
+ * format on the device in vectors iJacS_dev, jJacS_dev, and MJacS_dev,
+ * respectively.
+ *
+ * @param[inout] opflow The OPFLOW object.
+ * @param[in] x_dev The device array with the current solution iterate.
+ * @param[out] iJacS_dev The device array for the row indices of the Jacobian.
+ * @param[out] jJacS_dev The device array for the column indices of the
+ * Jacobian.
+ * @param[out] MJacS_dev The device array for the values of the Jacobian.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode
 OPFLOWComputeSparseInequalityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, const double *x_dev, int *iJacS_dev, int *jJacS_dev,
@@ -475,7 +578,6 @@ OPFLOWComputeSparseInequalityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
   PbpolModelRajaHiop *pbpolrajahiopsparse =
       reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
   PetscErrorCode ierr;
-  double *x, *values;
   PetscInt *iRowstart, *jColstart;
   PetscInt roffset, coffset;
   PetscInt nrow, ncol;
@@ -487,19 +589,17 @@ OPFLOWComputeSparseInequalityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
 
   PetscFunctionBegin;
 
-  if (MJacS_dev == NULL) {
-    /* Set locations only */
+  // If sparsity pattern does not exist, create it!
+  if (iJacS_dev != NULL && jJacS_dev != NULL) {
 
+    // Create arrays on host to store i,j, and val arrays
     if (opflow->Nconineq) {
-      // Create arrays on host to store i,j, and val arrays
       umpire::Allocator h_allocator_ = resmgr.getAllocator("HOST");
 
       pbpolrajahiopsparse->i_jacineq =
           (int *)(h_allocator_.allocate(opflow->nnz_ineqjacsp * sizeof(int)));
       pbpolrajahiopsparse->j_jacineq =
           (int *)(h_allocator_.allocate(opflow->nnz_ineqjacsp * sizeof(int)));
-      pbpolrajahiopsparse->val_jacineq = (double *)(h_allocator_.allocate(
-          opflow->nnz_ineqjacsp * sizeof(double)));
 
       iRowstart = pbpolrajahiopsparse->i_jacineq;
       jColstart = pbpolrajahiopsparse->j_jacineq;
@@ -540,45 +640,20 @@ OPFLOWComputeSparseInequalityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
       ierr = PetscLogEventEnd(opflow->ineqconsjaclogger, 0, 0, 0, 0);
       CHKERRQ(ierr);
     }
-  } else {
+  }
+
+  // TODO: This is bad! If MJacS_dev is NULL, this function will quietly do
+  // nothing. We should at least throw an error or warning.
+  if (MJacS_dev != NULL) {
     if (opflow->Nconineq) {
       ierr = PetscLogEventBegin(opflow->ineqconsjaclogger, 0, 0, 0, 0);
       CHKERRQ(ierr);
 
-      ierr = VecGetArray(opflow->X, &x);
-      CHKERRQ(ierr);
-
-      // Copy from device to host
-      umpire::Allocator h_allocator_ = resmgr.getAllocator("HOST");
-      registerWith(x, opflow->nx, resmgr, h_allocator_);
-      resmgr.copy((double *)x, (double *)x_dev);
-
-      ierr = VecRestoreArray(opflow->X, &x);
-      CHKERRQ(ierr);
-
-      /* Compute inequality constraint jacobian */
-      ierr = (*opflow->modelops.computeinequalityconstraintjacobian)(
-          opflow, opflow->X, opflow->Jac_Gi);
-      CHKERRQ(ierr);
-
-      ierr = MatGetSize(opflow->Jac_Gi, &nrow, &ncol);
-      CHKERRQ(ierr);
-
-      values = pbpolrajahiopsparse->val_jacineq;
-      /* Copy over values */
-      for (i = 0; i < nrow; i++) {
-        ierr = MatGetRow(opflow->Jac_Gi, i, &nvals, &cols, &vals);
-        CHKERRQ(ierr);
-        for (j = 0; j < nvals; j++) {
-          values[j] = vals[j];
-        }
-        values += nvals;
-        ierr = MatRestoreRow(opflow->Jac_Gi, i, &nvals, &cols, &vals);
-        CHKERRQ(ierr);
-      }
-      // Copy over val_jacineq to device
-      resmgr.copy(MJacS_dev + opflow->nnz_eqjacsp,
-                  pbpolrajahiopsparse->val_jacineq);
+      /* KS: Compute inequality constraint Jacobian directly on device.
+         No H2D, D2H copies: x_dev is already on device, output goes
+         straight into the ineq portion of MJacS_dev. */
+      ComputeIneqJacValuesGPU_PBPOLRAJAHIOPSPARSE(
+          opflow, x_dev, MJacS_dev + opflow->nnz_eqjacsp);
 
       ierr = PetscLogEventEnd(opflow->ineqconsjaclogger, 0, 0, 0, 0);
       CHKERRQ(ierr);
@@ -588,6 +663,23 @@ OPFLOWComputeSparseInequalityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
   PetscFunctionReturn(0);
 }
 
+/**
+ * @brief Compute the Jacobian of the equality constraints for the
+ * PBPOLRAJAHIOPSPARSE model.
+ *
+ * Takes current iterate of the solution vector x_dev and computes the
+ * Jacobian of the equality constraints. The solution is stored in triplet
+ * format on the device in vectors iJacS_dev, jJacS_dev, and MJacS_dev,
+ * respectively.
+ *
+ * @param[inout] opflow The OPFLOW object.
+ * @param[in]  x_dev The device array with the current solution iterate.
+ * @param[out] iJacS_dev The device array for the row indices of the Jacobian.
+ * @param[out] jJacS_dev The device array for the column indices of the
+ * Jacobian.
+ * @param[out] MJacS_dev The device array for the values of the Jacobian.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode
 OPFLOWComputeSparseEqualityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, const double *x_dev, int *iJacS_dev, int *jJacS_dev,
@@ -595,101 +687,245 @@ OPFLOWComputeSparseEqualityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
   PbpolModelRajaHiop *pbpolrajahiopsparse =
       reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
   PetscErrorCode ierr;
-  PetscInt *iRowstart, *jColstart;
-  PetscScalar *x, *values;
   PetscInt roffset, coffset;
-  PetscInt nrow, ncol;
-  PetscInt nvals;
-  const PetscInt *cols;
-  const PetscScalar *vals;
-  PetscInt i, j;
   auto &resmgr = umpire::ResourceManager::getInstance();
 
   PetscFunctionBegin;
 
-  if (MJacS_dev == NULL) {
-    /* Set locations only */
-
+  // If sparsity pattern has not been created, create it.
+  // This only needs to be done once since the sparsity pattern of the Jacobian
+  // does not change during the optimization.
+  if (iJacS_dev != NULL && jJacS_dev != NULL) {
+    // Compute sparsity pattern on host, matching the flat-array layout
+    // defined during setup in OPFLOWModelSetUp_PBPOLRAJAHIOPSPARSE.
     roffset = 0;
     coffset = 0;
 
-    // Create arrays on host to store i,j, and val arrays
     umpire::Allocator h_allocator_ = resmgr.getAllocator("HOST");
 
     pbpolrajahiopsparse->i_jaceq =
         (int *)(h_allocator_.allocate(opflow->nnz_eqjacsp * sizeof(int)));
     pbpolrajahiopsparse->j_jaceq =
         (int *)(h_allocator_.allocate(opflow->nnz_eqjacsp * sizeof(int)));
-    pbpolrajahiopsparse->val_jaceq =
-        (double *)(h_allocator_.allocate(opflow->nnz_eqjacsp * sizeof(double)));
-
-    iRowstart = pbpolrajahiopsparse->i_jaceq;
-    jColstart = pbpolrajahiopsparse->j_jaceq;
+    pbpolrajahiopsparse->perm_jaceq =
+        (int *)(h_allocator_.allocate(opflow->nnz_eqjacsp * sizeof(int)));
 
-    ierr = (*opflow->modelops.computeequalityconstraintjacobian)(
-        opflow, opflow->X, opflow->Jac_Ge);
-    CHKERRQ(ierr);
+    int *iRow_temp =
+        (int *)(h_allocator_.allocate(opflow->nnz_eqjacsp * sizeof(int)));
+    int *jCol_temp =
+        (int *)(h_allocator_.allocate(opflow->nnz_eqjacsp * sizeof(int)));
 
-    ierr = MatGetSize(opflow->Jac_Ge, &nrow, &ncol);
-    CHKERRQ(ierr);
+    PS ps = opflow->ps;
+    BUSParamsRajaHiop *busparams = &pbpolrajahiopsparse->busparams;
+    GENParamsRajaHiop *genparams = &pbpolrajahiopsparse->genparams;
+    LOADParamsRajaHiop *loadparams = &pbpolrajahiopsparse->loadparams;
+    LINEParamsRajaHiop *lineparams = &pbpolrajahiopsparse->lineparams;
+
+    int geni = 0, loadi = 0;
+    /*KS: not worth moving this to the gpu */
+    for (int ibus = 0; ibus < ps->nbus; ibus++) {
+      PSBUS bus = &ps->bus[ibus];
+      int P_row = roffset + busparams->gidx[ibus];
+      int Q_row = P_row + 1;
+      int theta_col = coffset + busparams->xidx[ibus];
+      int Vm_col = theta_col + 1;
+      int base;
+
+      /* P-row self-admittance */
+      base = busparams->eqjacsp_idx[2 * ibus];
+      iRow_temp[base] = P_row;
+      jCol_temp[base] = theta_col;
+      iRow_temp[base + 1] = P_row;
+      jCol_temp[base + 1] = Vm_col;
+
+      if (bus->ide == ISOLATED_BUS) {
+        /* Q-row self-admittance for isolated bus */
+        base = busparams->eqjacsp_idx[2 * ibus + 1];
+        iRow_temp[base] = Q_row;
+        jCol_temp[base] = theta_col;
+        iRow_temp[base + 1] = Q_row;
+        jCol_temp[base + 1] = Vm_col;
+        continue;
+      }
 
-    /* Copy over locations to triplet format */
-    for (i = 0; i < nrow; i++) {
-      ierr = MatGetRow(opflow->Jac_Ge, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
-      for (j = 0; j < nvals; j++) {
-        iRowstart[j] = roffset + i;
-        jColstart[j] = coffset + cols[j];
+      /* P-row power imbalance */
+      if (opflow->include_powerimbalance_variables) {
+        base = busparams->jacsp_idx[ibus];
+        int pimb_col = coffset + busparams->xidxpimb[ibus];
+        iRow_temp[base] = P_row;
+        jCol_temp[base] = pimb_col;
+        iRow_temp[base + 1] = P_row;
+        jCol_temp[base + 1] = pimb_col + 1;
       }
-      /* Increment iRow,jCol pointers */
-      iRowstart += nvals;
-      jColstart += nvals;
-      ierr = MatRestoreRow(opflow->Jac_Ge, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
-    }
 
-    // Copy over i_jaceq and j_jaceq arrays to device
-    resmgr.copy(iJacS_dev, pbpolrajahiopsparse->i_jaceq);
-    resmgr.copy(jJacS_dev, pbpolrajahiopsparse->j_jaceq);
-  } else {
-    ierr = PetscLogEventBegin(opflow->eqconsjaclogger, 0, 0, 0, 0);
-    CHKERRQ(ierr);
+      /* P-row gen Pg */
+      int gi = 0;
+      for (int k = 0; k < bus->ngen; k++) {
+        PSGEN gen;
+        PSBUSGetGen(bus, k, &gen);
+        if (!gen->status)
+          continue;
+        base = genparams->eqjacspbus_idx[geni + gi];
+        iRow_temp[base] = P_row;
+        jCol_temp[base] = coffset + genparams->xidx[geni + gi];
+        gi++;
+      }
 
-    ierr = VecGetArray(opflow->X, &x);
-    CHKERRQ(ierr);
+      /* P-row load loss */
+      if (opflow->include_loadloss_variables) {
+        for (int k = 0; k < bus->nload; k++) {
+          base = loadparams->jacsp_idx[loadi + k];
+          iRow_temp[base] = P_row;
+          jCol_temp[base] = coffset + loadparams->xidx[loadi + k];
+        }
+      }
 
-    // Copy from device to host
-    umpire::Allocator h_allocator_ = resmgr.getAllocator("HOST");
-    registerWith(x, opflow->nx, resmgr, h_allocator_);
-    resmgr.copy((double *)x, (double *)x_dev);
+      /* Q-row self-admittance */
+      base = busparams->eqjacsp_idx[2 * ibus + 1];
+      iRow_temp[base] = Q_row;
+      jCol_temp[base] = theta_col;
+      iRow_temp[base + 1] = Q_row;
+      jCol_temp[base + 1] = Vm_col;
+
+      /* Q-row power imbalance */
+      if (opflow->include_powerimbalance_variables) {
+        base = busparams->jacsq_idx[ibus];
+        int pimb_col = coffset + busparams->xidxpimb[ibus];
+        iRow_temp[base] = Q_row;
+        jCol_temp[base] = pimb_col + 2;
+        iRow_temp[base + 1] = Q_row;
+        jCol_temp[base + 1] = pimb_col + 3;
+      }
 
-    ierr = VecRestoreArray(opflow->X, &x);
-    CHKERRQ(ierr);
+      /* Q-row gen Qg */
+      gi = 0;
+      for (int k = 0; k < bus->ngen; k++) {
+        PSGEN gen;
+        PSBUSGetGen(bus, k, &gen);
+        if (!gen->status)
+          continue;
+        base = genparams->eqjacsqbus_idx[geni + gi];
+        iRow_temp[base] = Q_row;
+        jCol_temp[base] = coffset + genparams->xidx[geni + gi] + 1;
+        gi++;
+      }
 
-    /* Compute equality constraint jacobian */
-    ierr = (*opflow->modelops.computeequalityconstraintjacobian)(
-        opflow, opflow->X, opflow->Jac_Ge);
-    CHKERRQ(ierr);
+      /* Q-row load loss */
+      if (opflow->include_loadloss_variables) {
+        for (int k = 0; k < bus->nload; k++) {
+          base = loadparams->jacsq_idx[loadi + k];
+          iRow_temp[base] = Q_row;
+          jCol_temp[base] = coffset + loadparams->xidx[loadi + k] + 1;
+        }
+      }
 
-    ierr = MatGetSize(opflow->Jac_Ge, &nrow, &ncol);
-    CHKERRQ(ierr);
+      geni += bus->ngenON;
+      loadi += bus->nload;
+    }
 
-    values = pbpolrajahiopsparse->val_jaceq;
+    /* Line off-diagonal entries */
+    for (int l = 0; l < lineparams->nlineON; l++) {
+      if (lineparams->isdcline[l])
+        continue;
+
+      int base = lineparams->eqjacsp_idx[l];
+      int Pf_row = roffset + lineparams->geqidxf[l];
+      int Qf_row = Pf_row + 1;
+      int Pt_row = roffset + lineparams->geqidxt[l];
+      int Qt_row = Pt_row + 1;
+      int thetat_col = coffset + lineparams->xidxt[l];
+      int Vmt_col = thetat_col + 1;
+      int thetaf_col = coffset + lineparams->xidxf[l];
+      int Vmf_col = thetaf_col + 1;
+
+      /* From-bus off-diagonal: Pf w.r.t. thetat, Vmt */
+      iRow_temp[base + 0] = Pf_row;
+      jCol_temp[base + 0] = thetat_col;
+      iRow_temp[base + 1] = Pf_row;
+      jCol_temp[base + 1] = Vmt_col;
+      /* Qf w.r.t. thetat, Vmt */
+      iRow_temp[base + 2] = Qf_row;
+      jCol_temp[base + 2] = thetat_col;
+      iRow_temp[base + 3] = Qf_row;
+      jCol_temp[base + 3] = Vmt_col;
+      /* To-bus off-diagonal: Pt w.r.t. thetaf, Vmf */
+      iRow_temp[base + 4] = Pt_row;
+      jCol_temp[base + 4] = thetaf_col;
+      iRow_temp[base + 5] = Pt_row;
+      jCol_temp[base + 5] = Vmf_col;
+      /* Qt w.r.t. thetaf, Vmf */
+      iRow_temp[base + 6] = Qt_row;
+      jCol_temp[base + 6] = thetaf_col;
+      iRow_temp[base + 7] = Qt_row;
+      jCol_temp[base + 7] = Vmf_col;
+    }
 
-    /* Copy over values */
-    for (i = 0; i < nrow; i++) {
-      ierr = MatGetRow(opflow->Jac_Ge, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
-      for (j = 0; j < nvals; j++) {
-        values[j] = vals[j];
+    /* Generator set-point equality constraint entries */
+    if (opflow->has_gensetpoint) {
+      for (int g = 0; g < genparams->ngenON; g++) {
+        if (genparams->isrenewable[g])
+          continue;
+        int base = genparams->eqjacspgen_idx[g];
+        int row0 = roffset + genparams->geqidxgen[g];
+        int row1 = row0 + 1;
+        int Pg_col = coffset + genparams->xidx[g];
+        int delPg_col = coffset + genparams->xpdevidx[g];
+        int Pset_col = coffset + genparams->xpsetidx[g];
+
+        iRow_temp[base + 0] = row0;
+        jCol_temp[base + 0] = Pg_col;
+        iRow_temp[base + 1] = row0;
+        jCol_temp[base + 1] = delPg_col;
+        iRow_temp[base + 2] = row0;
+        jCol_temp[base + 2] = Pset_col;
+        iRow_temp[base + 3] = row1;
+        jCol_temp[base + 3] = Pset_col;
       }
-      values += nvals;
-      ierr = MatRestoreRow(opflow->Jac_Ge, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
     }
 
-    // Copy over val_ineq to device
-    resmgr.copy(MJacS_dev, pbpolrajahiopsparse->val_jaceq);
+    // Sort and permute indices
+    // @todo Evaluate the cost of this for large systems
+    // Consider moving the index storage (and sorting) to GPU
+    std::vector<int> perm_temp(opflow->nnz_eqjacsp);
+    std::iota(perm_temp.begin(), perm_temp.end(), 0);
+    std::sort(perm_temp.begin(), perm_temp.end(), [&](int i, int j) {
+      return (iRow_temp[i] != iRow_temp[j]) ? iRow_temp[i] < iRow_temp[j]
+                                            : jCol_temp[i] < jCol_temp[j];
+    });
+
+    int *iRow = pbpolrajahiopsparse->i_jaceq;
+    int *jCol = pbpolrajahiopsparse->j_jaceq;
+    int *perm = pbpolrajahiopsparse->perm_jaceq;
+    for (int i = 0; i < opflow->nnz_eqjacsp; i++) {
+      iRow[i] = iRow_temp[perm_temp[i]];
+      jCol[i] = jCol_temp[perm_temp[i]];
+      perm[perm_temp[i]] = i; // reverse map to store values directly in the
+                              // desired location
+    }
+    h_allocator_.deallocate(iRow_temp);
+    h_allocator_.deallocate(jCol_temp);
+
+    // Copy indices from host to device
+    resmgr.copy(iJacS_dev, pbpolrajahiopsparse->i_jaceq);
+    resmgr.copy(jJacS_dev, pbpolrajahiopsparse->j_jaceq);
+
+    // Allocate permutation on device and copy from host
+    umpire::Allocator d_allocator_ = resmgr.getAllocator("DEVICE");
+    pbpolrajahiopsparse->perm_jaceq_dev =
+        (int *)(d_allocator_.allocate(opflow->nnz_eqjacsp * sizeof(int)));
+    resmgr.copy(pbpolrajahiopsparse->perm_jaceq_dev,
+                pbpolrajahiopsparse->perm_jaceq);
+  }
+
+  if (MJacS_dev != NULL) {
+    ierr = PetscLogEventBegin(opflow->eqconsjaclogger, 0, 0, 0, 0);
+    CHKERRQ(ierr);
+
+    /* KS: Compute equality constraint Jacobian directly on device.
+       No H2D, D2H copies: x_dev is already on device, output goes
+       straight into MJacS_dev. */
+    ComputeEqJacValuesGPU_PBPOLRAJAHIOPSPARSE(
+        opflow, x_dev, pbpolrajahiopsparse->perm_jaceq_dev, MJacS_dev);
 
     ierr = PetscLogEventEnd(opflow->eqconsjaclogger, 0, 0, 0, 0);
     CHKERRQ(ierr);
@@ -698,26 +934,44 @@ OPFLOWComputeSparseEqualityConstraintJacobian_PBPOLRAJAHIOPSPARSE(
   PetscFunctionReturn(0);
 }
 
+/** @brief Helper function to only store upper trianglular Hessian
+ *
+ */
+static inline void store_entry(const int slot, int r, int c, int *iRow,
+                               int *jCol) {
+  if (r > c)
+    std::swap(r, c);
+  iRow[slot] = r;
+  jCol[slot] = c;
+}
+
+/**
+ * @brief Compute the Hessian of the Lagrangian for the PBPOLRAJAHIOPSPARSE
+ * model.
+ *
+ * @param[inout] opflow The OPFLOW object.
+ * @param[in]  x_dev The device array with the current solution iterate.
+ * @param[out] lambda_dev The device array with the current Lagrange
+ * multipliers.
+ * @param[out] iHSS_dev The device array for the row indices of the Hessian.
+ * @param[out] jHSS_dev The device array for the column indices of the Hessian.
+ * @param[out] MHSS_dev The device array for the values of the Hessian.
+ * @return PetscErrorCode indicating success or failure.
+ */
 PetscErrorCode OPFLOWComputeSparseHessian_PBPOLRAJAHIOPSPARSE(
     OPFLOW opflow, const double *x_dev, const double *lambda_dev, int *iHSS_dev,
     int *jHSS_dev, double *MHSS_dev) {
+
   PbpolModelRajaHiop *pbpolrajahiopsparse =
       reinterpret_cast<PbpolModelRajaHiop *>(opflow->model);
+
   PetscErrorCode ierr;
-  PetscInt *iRow, *jCol;
-  PetscScalar *x, *values, *lambda;
-  PetscInt nrow;
-  PetscInt nvals;
-  const PetscInt *cols;
-  const PetscScalar *vals;
-  PetscInt i, j;
-  PetscInt ctr = 0;
+
   auto &resmgr = umpire::ResourceManager::getInstance();
 
   PetscFunctionBegin;
 
   if (iHSS_dev != NULL && jHSS_dev != NULL) {
-
     // Create arrays on host to store i,j, and val arrays
     umpire::Allocator h_allocator_ = resmgr.getAllocator("HOST");
 
@@ -725,122 +979,220 @@ PetscErrorCode OPFLOWComputeSparseHessian_PBPOLRAJAHIOPSPARSE(
         (int *)(h_allocator_.allocate(opflow->nnz_hesssp * sizeof(int)));
     pbpolrajahiopsparse->j_hess =
         (int *)(h_allocator_.allocate(opflow->nnz_hesssp * sizeof(int)));
-    pbpolrajahiopsparse->val_hess =
-        (double *)(h_allocator_.allocate(opflow->nnz_hesssp * sizeof(double)));
+    pbpolrajahiopsparse->perm_hess =
+        (int *)(h_allocator_.allocate(opflow->nnz_hesssp * sizeof(int)));
 
-    iRow = pbpolrajahiopsparse->i_hess;
-    jCol = pbpolrajahiopsparse->j_hess;
+    int *iRow_temp =
+        (int *)(h_allocator_.allocate(opflow->nnz_hesssp * sizeof(int)));
+    int *jCol_temp =
+        (int *)(h_allocator_.allocate(opflow->nnz_hesssp * sizeof(int)));
 
-    ierr = (*opflow->modelops.computehessian)(
-        opflow, opflow->X, opflow->Lambdae, opflow->Lambdai, opflow->Hes);
-    CHKERRQ(ierr);
-    ierr = MatGetSize(opflow->Hes, &nrow, &nrow);
-    CHKERRQ(ierr);
+    BUSParamsRajaHiop *busparams = &pbpolrajahiopsparse->busparams;
+    GENParamsRajaHiop *genparams = &pbpolrajahiopsparse->genparams;
+    LOADParamsRajaHiop *loadparams = &pbpolrajahiopsparse->loadparams;
+    LINEParamsRajaHiop *lineparams = &pbpolrajahiopsparse->lineparams;
+
+    // Compute indices
+    // Bus equality constraint Hessian (1 diagonal entry)
+    for (int ibus = 0; ibus < busparams->nbus; ++ibus) {
+      const int xloc = busparams->xidx[ibus];
+      const int slot = busparams->hesssp_eq_idx[ibus];
+      store_entry(slot, xloc + 1, xloc + 1, iRow_temp, jCol_temp);
+    }
 
-    /* Copy over locations to triplet format */
-    /* Note that HIOP requires a upper triangular Hessian as oppposed
-       to IPOPT which requires a lower triangular Hessian
-    */
-    for (i = 0; i < nrow; i++) {
-      ierr = MatGetRow(opflow->Hes, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
-      ctr = 0;
-      for (j = 0; j < nvals; j++) {
-        if (cols[j] >= i) { /* upper triangle */
-          /* save as upper triangle locations */
-          iRow[ctr] = i;
-          jCol[ctr] = cols[j];
-          ctr++;
-        }
+    // Line equality constraints Hessian (4x4, 10 upper triangular)
+    for (int iline = 0; iline < lineparams->nlineON; ++iline) {
+      const int xlocf = lineparams->xidxf[iline];
+      const int xloct = lineparams->xidxt[iline];
+      const int base = 10 * iline;
+
+      store_entry(lineparams->hesssp_eq_idx[base + 0], xlocf, xlocf, iRow_temp,
+                  jCol_temp);
+      store_entry(lineparams->hesssp_eq_idx[base + 1], xlocf, xlocf + 1,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_eq_idx[base + 2], xlocf, xloct, iRow_temp,
+                  jCol_temp);
+      store_entry(lineparams->hesssp_eq_idx[base + 3], xlocf, xloct + 1,
+                  iRow_temp, jCol_temp);
+
+      store_entry(lineparams->hesssp_eq_idx[base + 4], xlocf + 1, xlocf + 1,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_eq_idx[base + 5], xlocf + 1, xloct,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_eq_idx[base + 6], xlocf + 1, xloct + 1,
+                  iRow_temp, jCol_temp);
+
+      store_entry(lineparams->hesssp_eq_idx[base + 7], xloct, xloct, iRow_temp,
+                  jCol_temp);
+      store_entry(lineparams->hesssp_eq_idx[base + 8], xloct, xloct + 1,
+                  iRow_temp, jCol_temp);
+
+      store_entry(lineparams->hesssp_eq_idx[base + 9], xloct + 1, xloct + 1,
+                  iRow_temp, jCol_temp);
+    }
+
+    // Generator AGC inequality constraints Hessian (3 upper triangular entries)
+    if (opflow->has_gensetpoint && opflow->use_agc) {
+      const int xloc_dpsys = pbpolrajahiopsparse->agc_xidx;
+
+      for (int g = 0; g < genparams->ngenON; ++g) {
+        if (genparams->isrenewable[g])
+          continue;
+
+        const int xloc_pg = genparams->xidx[g];
+        const int xloc_dev = genparams->xpdevidx[g];
+        const int base = 3 * g;
+
+        store_entry(genparams->hesssp_ineq_idx[base + 0], xloc_pg, xloc_pg,
+                    iRow_temp, jCol_temp);
+        store_entry(genparams->hesssp_ineq_idx[base + 1], xloc_pg, xloc_dev,
+                    iRow_temp, jCol_temp);
+        store_entry(genparams->hesssp_ineq_idx[base + 2], xloc_pg, xloc_dpsys,
+                    iRow_temp, jCol_temp);
       }
-      iRow += ctr;
-      jCol += ctr;
-      ierr = MatRestoreRow(opflow->Hes, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
     }
 
-    // Copy over i_hess and j_hess arrays to device
-    resmgr.copy(iHSS_dev, pbpolrajahiopsparse->i_hess);
-    resmgr.copy(jHSS_dev, pbpolrajahiopsparse->j_hess);
-  } else {
+    // Set voltage inequality constraints Hessian (1 entry)
+    if (opflow->genbusvoltagetype == FIXED_WITHIN_QBOUNDS) {
+      for (int ibus = 0; ibus < busparams->nbus; ++ibus) {
+        if (!(busparams->ispv[ibus] || busparams->isref[ibus]))
+          continue;
 
-    ierr = VecGetArray(opflow->X, &x);
-    CHKERRQ(ierr);
+        const int xloc_v = busparams->xidx[ibus] + 1;
+        const int goff = busparams->genoffset[ibus];
+        const int ngen = busparams->ngenONbus[ibus];
 
-    // Copy from device to host
-    umpire::Allocator h_allocator_ = resmgr.getAllocator("HOST");
-    registerWith(x, opflow->nx, resmgr, h_allocator_);
-    resmgr.copy((double *)x, (double *)x_dev);
+        for (int k = 0; k < ngen; ++k) {
+          const int g = goff + k;
+          const int xloc_qg = genparams->xidx[g] + 1;
 
-    ierr = VecRestoreArray(opflow->X, &x);
-    CHKERRQ(ierr);
+          const int slot = busparams->hesssp_ineq_idx[g];
+          store_entry(slot, xloc_qg, xloc_v, iRow_temp, jCol_temp);
+        }
+      }
+    }
 
-    ierr = VecGetArray(opflow->Lambda, &lambda);
+    // Line inequality constraints Hessian (4x4, 10 upper triangular)
+    for (int imon = 0; imon < lineparams->nlinelim; ++imon) {
+      const int iline = lineparams->linelimidx[imon];
+      if (lineparams->isdcline[iline])
+        continue;
+
+      const int xlocf = lineparams->xidxf[iline];
+      const int xloct = lineparams->xidxt[iline];
+      const int base = 10 * imon;
+
+      store_entry(lineparams->hesssp_ineq_idx[base + 0], xlocf, xlocf,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_ineq_idx[base + 1], xlocf, xlocf + 1,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_ineq_idx[base + 2], xlocf, xloct,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_ineq_idx[base + 3], xlocf, xloct + 1,
+                  iRow_temp, jCol_temp);
+
+      store_entry(lineparams->hesssp_ineq_idx[base + 4], xlocf + 1, xlocf + 1,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_ineq_idx[base + 5], xlocf + 1, xloct,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_ineq_idx[base + 6], xlocf + 1, xloct + 1,
+                  iRow_temp, jCol_temp);
+
+      store_entry(lineparams->hesssp_ineq_idx[base + 7], xloct, xloct,
+                  iRow_temp, jCol_temp);
+      store_entry(lineparams->hesssp_ineq_idx[base + 8], xloct, xloct + 1,
+                  iRow_temp, jCol_temp);
+
+      store_entry(lineparams->hesssp_ineq_idx[base + 9], xloct + 1, xloct + 1,
+                  iRow_temp, jCol_temp);
+    }
 
-    registerWith(lambda, opflow->ncon, resmgr, h_allocator_);
-    // copy lambda from device to host
-    resmgr.copy((double *)lambda, (double *)lambda_dev);
+    // Power-imbalance objective Hessian (2 diagonal entries)
+    if (opflow->include_powerimbalance_variables) {
+      for (int ibus = 0; ibus < busparams->nbus; ++ibus) {
+        const int xloc = busparams->xidxpimb[ibus];
+        const int base = 2 * ibus;
 
-    ierr = VecPlaceArray(opflow->Lambdae, lambda);
-    CHKERRQ(ierr);
-    if (opflow->Nconineq) {
-      ierr = VecPlaceArray(opflow->Lambdai, lambda + opflow->nconeq);
-      CHKERRQ(ierr);
+        store_entry(busparams->hesssp_obj_idx[base + 0], xloc, xloc, iRow_temp,
+                    jCol_temp);
+        store_entry(busparams->hesssp_obj_idx[base + 1], xloc + 1, xloc + 1,
+                    iRow_temp, jCol_temp);
+      }
     }
 
-    /* Compute Hessian */
-    ierr = (*opflow->modelops.computehessian)(
-        opflow, opflow->X, opflow->Lambdae, opflow->Lambdai, opflow->Hes);
-    CHKERRQ(ierr);
+    // Gen objective Hessian (1 diagonal entry)
+    if (opflow->objectivetype == MIN_GEN_COST ||
+        opflow->objectivetype == MIN_GENSETPOINT_DEVIATION) {
+      for (int igen = 0; igen < genparams->ngenON; ++igen) {
+        const int xloc = (opflow->objectivetype == MIN_GEN_COST)
+                             ? genparams->xidx[igen]
+                             : genparams->xpdevidx[igen];
 
-    ierr = VecResetArray(opflow->Lambdae);
-    CHKERRQ(ierr);
-    if (opflow->Nconineq) {
-      ierr = VecResetArray(opflow->Lambdai);
-      CHKERRQ(ierr);
+        const int slot = genparams->hesssp_obj_idx[igen];
+        store_entry(slot, xloc, xloc, iRow_temp, jCol_temp);
+      }
     }
 
-    ierr = VecRestoreArray(opflow->Lambda, &lambda);
-    CHKERRQ(ierr);
+    // Load objective Hessian (2 diagonal entries)
+    if (opflow->include_loadloss_variables) {
+      for (int iload = 0; iload < loadparams->nload; ++iload) {
+        const int xloc = loadparams->xidx[iload];
+        const int base = 2 * iload;
 
-    if (opflow->modelops.computeauxhessian) {
-      ierr = VecGetArray(opflow->X, &x);
-      CHKERRQ(ierr);
-      ierr = (*opflow->modelops.computeauxhessian)(opflow, x, opflow->Hes,
-                                                   opflow->userctx);
-      CHKERRQ(ierr);
-      ierr = VecRestoreArray(opflow->X, &x);
-      CHKERRQ(ierr);
+        store_entry(loadparams->hesssp_obj_idx[base + 0], xloc, xloc, iRow_temp,
+                    jCol_temp);
+        store_entry(loadparams->hesssp_obj_idx[base + 1], xloc + 1, xloc + 1,
+                    iRow_temp, jCol_temp);
+      }
+    }
 
-      ierr = MatAssemblyBegin(opflow->Hes, MAT_FINAL_ASSEMBLY);
-      CHKERRQ(ierr);
-      ierr = MatAssemblyEnd(opflow->Hes, MAT_FINAL_ASSEMBLY);
-      CHKERRQ(ierr);
+    // Sort and permute indices
+    // @todo Evaluate the cost of this for large systems
+    // Consider moving the index storage (and sorting) to GPU
+    std::vector<int> perm_temp(opflow->nnz_hesssp);
+    std::iota(perm_temp.begin(), perm_temp.end(), 0);
+    std::sort(perm_temp.begin(), perm_temp.end(), [&](int i, int j) {
+      return (iRow_temp[i] != iRow_temp[j]) ? iRow_temp[i] < iRow_temp[j]
+                                            : jCol_temp[i] < jCol_temp[j];
+    });
+
+    int *iRow = pbpolrajahiopsparse->i_hess;
+    int *jCol = pbpolrajahiopsparse->j_hess;
+    int *perm = pbpolrajahiopsparse->perm_hess;
+    for (int i = 0; i < opflow->nnz_hesssp; i++) {
+      iRow[i] = iRow_temp[perm_temp[i]];
+      jCol[i] = jCol_temp[perm_temp[i]];
+      perm[perm_temp[i]] = i; // reverse map to store values directly in the
+                              // desired location
     }
+    h_allocator_.deallocate(iRow_temp);
+    h_allocator_.deallocate(jCol_temp);
 
-    /* Copy over values */
-    ierr = MatGetSize(opflow->Hes, &nrow, &nrow);
-    CHKERRQ(ierr);
+    // Copy indices from host to device
+    resmgr.copy(iHSS_dev, pbpolrajahiopsparse->i_hess);
+    resmgr.copy(jHSS_dev, pbpolrajahiopsparse->j_hess);
+
+    // Allocate permutation on device and copy from host
+    umpire::Allocator d_allocator_ = resmgr.getAllocator("DEVICE");
+    pbpolrajahiopsparse->perm_hess_dev =
+        (int *)(d_allocator_.allocate(opflow->nnz_hesssp * sizeof(int)));
+    resmgr.copy(pbpolrajahiopsparse->perm_hess_dev,
+                pbpolrajahiopsparse->perm_hess);
+  }
 
-    values = pbpolrajahiopsparse->val_hess;
+  if (MHSS_dev != NULL) {
+    ierr = PetscLogEventBegin(opflow->hesslogger, 0, 0, 0, 0);
+    CHKERRQ(ierr);
 
-    for (i = 0; i < nrow; i++) {
-      ierr = MatGetRow(opflow->Hes, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
-      ctr = 0;
-      for (j = 0; j < nvals; j++) {
-        if (cols[j] >= i) { /* Upper triangle values (same as lower triangle) */
-          values[ctr] = vals[j];
-          ctr++;
-        }
-      }
-      values += ctr;
-      ierr = MatRestoreRow(opflow->Hes, i, &nvals, &cols, &vals);
-      CHKERRQ(ierr);
-    }
+    /* Compute Hessian directly on device.
+       No H2D, D2H copies: x_dev is already on device, output goes
+       straight into MHSS_dev. */
+    ComputeHessValuesGPU_PBPOLRAJAHIOPSPARSE(
+        opflow, x_dev, lambda_dev, lambda_dev + opflow->nconeq,
+        pbpolrajahiopsparse->perm_hess_dev, MHSS_dev);
 
-    // Copy over val_ineq to device
-    resmgr.copy(MHSS_dev, pbpolrajahiopsparse->val_hess);
+    ierr = PetscLogEventEnd(opflow->hesslogger, 0, 0, 0, 0);
+    CHKERRQ(ierr);
   }
 
   PetscFunctionReturn(0);
@@ -865,6 +1217,7 @@ PetscErrorCode OPFLOWSolutionCallback_PBPOLRAJAHIOPSPARSE(
 
   ierr = VecGetArray(opflow->X, &x);
   CHKERRQ(ierr);
+
   /* Copy xsol from device to host */
   resmgr.copy(x, (double *)xsol);
   ierr = VecRestoreArray(opflow->X, &x);
diff --git a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.hpp b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.hpp
index 9b941f3e..2392748b 100644
--- a/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.hpp
+++ b/src/opflow/model/power_bal_hiop/pbpolrajahiopsparsekernels.hpp
@@ -13,9 +13,9 @@
 /**
 
   @brief Takes a raw pointer to some data and registers it with the
-  allocator and resource manager.
+  Umpire allocator and resource manager.
 
-  TODO: Ensure that we do not have to deregister the allocation with
+  @todo Ensure that we do not have to deregister the allocation with
   the resource manager. This is done with `resmgr.deregisterAllocation(T* ptr)`,
   but must we do this with ever allocation? Will we incurr a memory leak if not?
 
diff --git a/src/opflow/model/power_bal_polar/pbpol.cpp b/src/opflow/model/power_bal_polar/pbpol.cpp
index 1af42663..65245ef0 100644
--- a/src/opflow/model/power_bal_polar/pbpol.cpp
+++ b/src/opflow/model/power_bal_polar/pbpol.cpp
@@ -913,18 +913,22 @@ PetscErrorCode OPFLOWComputeEqualityConstraintJacobian_PBPOL(OPFLOW opflow,
           col[0] = line->startxdcloc;
           val[0] = 1.0;
           ierr = MatSetValues(Je, 1, row, 1, col, val, ADD_VALUES);
+          CHKERRQ(ierr);
 
           col[0] = line->startxdcloc + 1;
           val[0] = 1.0;
           ierr = MatSetValues(Je, 1, row + 1, 1, col, val, ADD_VALUES);
+          CHKERRQ(ierr);
         } else {
           col[0] = line->startxdcloc;
           val[0] = -(1.0 - line->loss1);
           ierr = MatSetValues(Je, 1, row, 1, col, val, ADD_VALUES);
+          CHKERRQ(ierr);
 
           col[0] = line->startxdcloc + 2;
           val[0] = -1.0;
           ierr = MatSetValues(Je, 1, row + 1, 1, col, val, ADD_VALUES);
+          CHKERRQ(ierr);
         }
       }
     }
@@ -2072,7 +2076,7 @@ PetscErrorCode OPFLOWComputeEqualityConstraintsHessian_PBPOL(OPFLOW opflow,
         dPt_dthetat_dVmf = Vmt * (-Gtf * sin_thetatf + Btf * cos_thetatf);
 
         /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos_thetatf + Btf*sin_thetatf); */
-        dPt_dVmt_dthetat = Vmf * (-Gtf * sin_thetatf + Bft * cos_thetatf);
+        dPt_dVmt_dthetat = Vmf * (-Gtf * sin_thetatf + Btf * cos_thetatf);
         dPt_dVmt_dVmt = 2 * Gtt;
         dPt_dVmt_dthetaf = Vmf * (Gtf * sin_thetatf - Btf * cos_thetatf);
         dPt_dVmt_dVmf = (Gtf * cos_thetatf + Btf * sin_thetatf);
@@ -2277,6 +2281,7 @@ PetscErrorCode OPFLOWComputeInequalityConstraintsHessian_PBPOL(OPFLOW opflow,
           val[2] = gen->apf * (lambda_gloc + lambda_gloc1);
 
           ierr = MatSetValues(H, 1, row, 3, col, val, ADD_VALUES);
+          CHKERRQ(ierr);
 
           //	  df1_ddelPg = -(Pg - gen->pt);
           //	  df2_ddelPg = gen->pb - Pg;
@@ -2510,7 +2515,7 @@ PetscErrorCode OPFLOWComputeInequalityConstraintsHessian_PBPOL(OPFLOW opflow,
     d2Pt_dthetat_dVmf = Vmt * (-Gtf * sin_thetatf + Btf * cos_thetatf);
 
     /* dPt_Vmt  = 2*Gtt*Vmt + Vmf*(Gtf*cos_thetatf + Btf*sin_thetatf); */
-    d2Pt_dVmt_dthetat = Vmf * (-Gtf * sin_thetatf + Bft * cos_thetatf);
+    d2Pt_dVmt_dthetat = Vmf * (-Gtf * sin_thetatf + Btf * cos_thetatf);
     d2Pt_dVmt_dVmt = 2 * Gtt;
     d2Pt_dVmt_dthetaf = Vmf * (Gtf * sin_thetatf - Btf * cos_thetatf);
     d2Pt_dVmt_dVmf = (Gtf * cos_thetatf + Btf * sin_thetatf);
diff --git a/src/opflow/solver/hiop/opflow_hiopsparsegpu.cpp b/src/opflow/solver/hiop/opflow_hiopsparsegpu.cpp
index 2db1de54..78f61b8d 100644
--- a/src/opflow/solver/hiop/opflow_hiopsparsegpu.cpp
+++ b/src/opflow/solver/hiop/opflow_hiopsparsegpu.cpp
@@ -55,48 +55,9 @@ bool OPFLOWHIOPSPARSEGPUInterface::get_sparse_blocks_info(
   MatInfo info_eq, info_ineq, info_hes;
 
   nx = opflow->nx;
-
-  /* Compute nonzeros for the Jacobian */
-  /* Equality constraint Jacobian */
-  ierr = (*opflow->modelops.computeequalityconstraintjacobian)(
-      opflow, opflow->X, opflow->Jac_Ge);
-  CHKERRQ(ierr);
-  ierr = MatSetOption(opflow->Jac_Ge, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE);
-  CHKERRQ(ierr);
-
-  ierr = MatGetInfo(opflow->Jac_Ge, MAT_LOCAL, &info_eq);
-  CHKERRQ(ierr);
-
-  nnz_sparse_Jaceq = opflow->nnz_eqjacsp = info_eq.nz_used;
-
-  nnz_sparse_Jacineq = 0;
-  if (opflow->Nconineq) {
-    ierr = (*opflow->modelops.computeinequalityconstraintjacobian)(
-        opflow, opflow->X, opflow->Jac_Gi);
-    CHKERRQ(ierr);
-    ierr =
-        MatSetOption(opflow->Jac_Gi, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE);
-    CHKERRQ(ierr);
-
-    ierr = MatGetInfo(opflow->Jac_Gi, MAT_LOCAL, &info_ineq);
-    CHKERRQ(ierr);
-
-    nnz_sparse_Jacineq = opflow->nnz_ineqjacsp = info_ineq.nz_used;
-  }
-
-  /* Compute non-zeros for Hessian */
-  ierr = (*opflow->modelops.computehessian)(opflow, opflow->X, opflow->Lambdae,
-                                            opflow->Lambdai, opflow->Hes);
-  CHKERRQ(ierr);
-  ierr = MatSetOption(opflow->Hes, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE);
-  CHKERRQ(ierr);
-
-  ierr = MatGetInfo(opflow->Hes, MAT_LOCAL, &info_hes);
-  CHKERRQ(ierr);
-
-  nnz_sparse_Hess_Lagr = (info_hes.nz_used - opflow->nx) / 2 + opflow->nx;
-
-  opflow->nnz_hesssp = nnz_sparse_Hess_Lagr;
+  nnz_sparse_Jaceq = opflow->nnz_eqjacsp;
+  nnz_sparse_Jacineq = opflow->nnz_ineqjacsp;
+  nnz_sparse_Hess_Lagr = opflow->nnz_hesssp;
 
   return true;
 }
diff --git a/tests/unit/CMakeLists.txt b/tests/unit/CMakeLists.txt
index ace550c4..06eebef5 100644
--- a/tests/unit/CMakeLists.txt
+++ b/tests/unit/CMakeLists.txt
@@ -1,18 +1,7 @@
 add_subdirectory(opflow)
+add_subdirectory(pflow)
 add_subdirectory(ps)
 
-if(EXAGO_ENABLE_RAJA AND EXAGO_ENABLE_CUDA)
-  set_source_files_properties(test_acopf.cpp PROPERTIES LANGUAGE CUDA)
-endif()
-
-add_executable(test_acopf test_acopf.cpp utils/test_acopf_utils.cpp)
-target_link_libraries(test_acopf ExaGO::OPFLOW)
-target_include_directories(test_acopf PRIVATE ./utils)
-
-add_executable(test_pflow test_pflow.cpp utils/test_acopf_utils.cpp)
-target_link_libraries(test_pflow ExaGO::PFLOW)
-target_include_directories(test_pflow PRIVATE ./utils)
-
 add_executable(test_error_handler test_error_handler.cpp)
 target_link_libraries(test_error_handler ExaGO::UTILS)
 
@@ -20,35 +9,6 @@ add_executable(test_logger test_logger.cpp)
 target_link_libraries(test_logger ExaGO::UTILS)
 
 if(EXAGO_RUN_TESTS)
-  # Unit tests
-  exago_add_test(
-    NAME
-    "UNIT_TESTS_OPFLOW"
-    DEPENDS
-    HIOP
-    COMMAND
-    ${RUNCMD}
-    $<TARGET_FILE:test_acopf>
-    -opflow_genbusvoltage
-    VARIABLE_WITHIN_BOUNDS
-    -validation_dir
-    ${CMAKE_SOURCE_DIR}/datafiles/test_validation
-    NETFILES
-    ${network_files}
-  )
-
-  exago_add_test(
-    NAME
-    "UNIT_TESTS_PFLOW"
-    COMMAND
-    ${RUNCMD}
-    $<TARGET_FILE:test_pflow>
-    -validation_dir
-    ${CMAKE_SOURCE_DIR}/datafiles/test_validation
-    NETFILES
-    ${network_files}
-  )
-
   exago_add_test(
     NAME UNIT_TESTS_UTILS COMMAND $<TARGET_FILE:test_error_handler>
   )
@@ -65,5 +25,4 @@ if(EXAGO_RUN_TESTS)
     DEPENDS
     LOGGING
   )
-
 endif()
diff --git a/tests/unit/opflow/CMakeLists.txt b/tests/unit/opflow/CMakeLists.txt
index 2f09e12f..82957bc0 100644
--- a/tests/unit/opflow/CMakeLists.txt
+++ b/tests/unit/opflow/CMakeLists.txt
@@ -1 +1,105 @@
+# Tests with "analytical" solutions
 add_subdirectory(objective)
+add_subdirectory(constraint_jacobian)
+
+# Tests using PETSc solution as reference
+if(EXAGO_ENABLE_RAJA AND EXAGO_ENABLE_CUDA)
+  set_source_files_properties(test_acopf.cpp PROPERTIES LANGUAGE CUDA)
+  if(EXAGO_ENABLE_HIOP_SPARSE)
+    set_source_files_properties(test_eqjac_gpu.cpp PROPERTIES LANGUAGE CUDA)
+    set_source_files_properties(test_ineqjac_gpu.cpp PROPERTIES LANGUAGE CUDA)
+  endif()
+endif()
+
+add_executable(
+  test_acopf test_acopf.cpp
+             ${CMAKE_SOURCE_DIR}/tests/unit/utils/test_acopf_utils.cpp
+)
+target_link_libraries(test_acopf ExaGO::OPFLOW)
+target_include_directories(
+  test_acopf PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/utils
+)
+
+if(EXAGO_ENABLE_HIOP_SPARSE AND EXAGO_ENABLE_GPU)
+  add_executable(test_ineqjac_gpu test_ineqjac_gpu.cpp)
+  target_link_libraries(test_ineqjac_gpu ExaGO::OPFLOW)
+  target_include_directories(
+    test_ineqjac_gpu PRIVATE ${CMAKE_SOURCE_DIR}/src/opflow
+  )
+
+  add_executable(test_eqjac_gpu test_eqjac_gpu.cpp)
+  target_link_libraries(test_eqjac_gpu ExaGO::OPFLOW)
+  target_include_directories(
+    test_eqjac_gpu PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/opflow
+  )
+
+  add_executable(test_hess_gpu test_hess_gpu.cpp)
+  target_link_libraries(test_hess_gpu ExaGO::OPFLOW)
+  target_include_directories(
+    test_hess_gpu PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/opflow
+  )
+endif()
+
+if(EXAGO_RUN_TESTS)
+  exago_add_test(
+    NAME
+    "UNIT_TESTS_OPFLOW"
+    DEPENDS
+    HIOP
+    COMMAND
+    ${RUNCMD}
+    $<TARGET_FILE:test_acopf>
+    -opflow_genbusvoltage
+    VARIABLE_WITHIN_BOUNDS
+    -validation_dir
+    ${CMAKE_SOURCE_DIR}/datafiles/test_validation
+    NETFILES
+    ${network_files}
+  )
+
+  exago_add_test(
+    NAME
+    "UNIT_TESTS_OPFLOW_EQUALITY_CONSTRAINT_JACOBIAN_GPU"
+    DEPENDS
+    GPU
+    HIOP_SPARSE
+    RAJA
+    COMMAND
+    ${RUNCMD}
+    $<TARGET_FILE:test_eqjac_gpu>
+    NETFILES
+    ${network_files}
+  )
+
+  exago_add_test(
+    NAME
+    "UNIT_TESTS_OPFLOW_INEQUALITY_CONSTRAINT_JACOBIAN_GPU"
+    DEPENDS
+    GPU
+    HIOP_SPARSE
+    RAJA
+    COMMAND
+    ${RUNCMD}
+    $<TARGET_FILE:test_ineqjac_gpu>
+    -opflow_genbusvoltage
+    VARIABLE_WITHIN_BOUNDS
+    NETFILES
+    ${network_files}
+  )
+
+  exago_add_test(
+    NAME
+    "UNIT_TESTS_OPFLOW_HESSIAN_GPU"
+    DEPENDS
+    GPU
+    HIOP_SPARSE
+    RAJA
+    COMMAND
+    ${RUNCMD}
+    $<TARGET_FILE:test_hess_gpu>
+    -opflow_genbusvoltage
+    VARIABLE_WITHIN_BOUNDS
+    NETFILES
+    ${network_files}
+  )
+endif()
diff --git a/tests/unit/opflow/constraint_jacobian/CMakeLists.txt b/tests/unit/opflow/constraint_jacobian/CMakeLists.txt
new file mode 100644
index 00000000..5a69e533
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/CMakeLists.txt
@@ -0,0 +1,2 @@
+add_subdirectory(equality)
+add_subdirectory(inequality)
diff --git a/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittest1.m b/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittest1.m
deleted file mode 100644
index 223e8ba3..00000000
--- a/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittest1.m
+++ /dev/null
@@ -1,50 +0,0 @@
-% Case saved by PowerWorld Simulator, version 22, build date March 23, 2021
-function mpc = CEC_unittest1
-mpc.version = '2';
-mpc.baseMVA =  100.00;
-
-%% bus data 
-mpc.bus = [
-1	1	0.00	0.00	0.00	0.00	1	2.0000000	0.000000	138.00	1	1.100	0.900
-2	1	0.00	0.00	0.25	-0.05	1	2.0000000	0.000000	138.00	1	1.100	0.900
-3	3	0.00	0.00	0.00	0.00	1	2.0000000	30.000000	13.80	1	1.100	0.900
-4	1	-3.40	8.80	0.00	0.00	1	2.0000000	0.000000	138.00	1	1.100	0.900
-5	1	0.00	0.00	0.00	0.00	1	2.0000000	0.000000	138.00	1	1.100	0.900
-];
-
-%% generator data 
-mpc.gen = [
-3	1.60	-2.20	9900.00	-9900.00	2.0000	100.00	1	1.60	1.60	0.00	0.00	0.00	0.00	0.00	0.00	0	0	0	0	10.0000
-];
-
-%% generator cost data
-mpc.gencost = [
-2	0	0	4	0.0000	0.010	0.100	8.00
-];
-
-%% branch data
-mpc.branch = [
-1	2	2.000000	1.000000	1.20000	0.00	0.00	0.00	0.00000	0.000	1	0.00	0.00	0.00	0.00	0.00	0.00
-2	3	2.000000	1.000000	1.20000	0.00	0.00	0.00	2.00000	60.000	1	0.00	0.00	0.00	0.00	0.00	0.00
-2	4	2.000000	1.000000	1.20000	0.00	0.00	0.00	0.00000	0.000	1	0.00	0.00	0.00	0.00	0.00	0.00
-4	5	2.000000	1.000000	1.20000	0.00	0.00	0.00	0.00000	0.000	1	0.00	0.00	0.00	0.00	0.00	0.00
-];
-
-%% bus names
-mpc.bus_name = {
-'1';
-'2';
-'3';
-'4';
-'5';
-};
-
-%% Generator Unit Types
-mpc.gentype = {
-'UN';
-};
-
-%% Generator Fuel Types
-mpc.genfuel = {
-'unknown';
-};
diff --git a/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx1.m b/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx1.m
new file mode 100644
index 00000000..8074969d
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx1.m
@@ -0,0 +1,49 @@
+function mpc = CECJ_unittestx1
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 2.0000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
+3 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+];
+
+%% branch data
+mpc.branch = [
+1 2 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+2 3 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+2 4 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+4 5 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+];
+
+%% bus names
+mpc.bus_name = {
+'1';
+'2';
+'3';
+'4';
+'5';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx3.m b/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx3.m
new file mode 100644
index 00000000..e4333700
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx3.m
@@ -0,0 +1,81 @@
+function mpc = CECJ_unittestx3
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 2.0000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+6 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+7 2  0.00 0.00 0.00  0.00 1 2.0000000 30.000000  13.80 1 1.100 0.900
+8 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+9 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+10 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+11 2  0.00 0.00 0.00  0.00 1 2.0000000 30.000000  13.80 1 1.100 0.900
+12 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+13 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
+3 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+7 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+11 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+];
+
+%% branch data
+mpc.branch = [
+1 2 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+2 3 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+2 4 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+4 5 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+5 6 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+6 7 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+6 8 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+8 9 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+9 10 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+10 11 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+10 12 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+12 13 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00
+];
+
+%% bus names
+mpc.bus_name = {
+'1';
+'2';
+'3';
+'4';
+'5';
+'6';
+'7';
+'8';
+'9';
+'10';
+'11';
+'12';
+'13';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+'UN';
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+'unknown';
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx600.m b/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx600.m
new file mode 100644
index 00000000..867efcac
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/equality/CECJ_unittestx600.m
@@ -0,0 +1,9633 @@
+function mpc = CECJ_unittestx600
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 2.0000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+6 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
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+2396 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
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+2400 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2401 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
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+2135 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2139 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2143 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2147 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2151 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2155 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2159 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2163 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2167 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2171 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2175 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2179 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2183 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2187 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2191 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2195 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2199 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2203 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2207 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2211 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2215 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2219 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2223 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2227 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2231 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2235 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2239 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2243 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2247 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2251 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2255 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2259 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2263 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2267 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2271 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2275 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2279 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2283 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2287 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2291 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2295 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2299 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2303 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2307 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2311 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2315 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2319 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2323 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2327 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2331 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2335 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2339 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2343 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2347 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2351 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2355 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2359 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2363 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2367 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2371 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2375 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2379 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2383 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2387 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2391 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2395 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2399 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
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+'2382';
+'2383';
+'2384';
+'2385';
+'2386';
+'2387';
+'2388';
+'2389';
+'2390';
+'2391';
+'2392';
+'2393';
+'2394';
+'2395';
+'2396';
+'2397';
+'2398';
+'2399';
+'2400';
+'2401';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/equality/CMakeLists.txt b/tests/unit/opflow/constraint_jacobian/equality/CMakeLists.txt
new file mode 100644
index 00000000..54fc3644
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/equality/CMakeLists.txt
@@ -0,0 +1,70 @@
+if(EXAGO_ENABLE_RAJA AND EXAGO_ENABLE_CUDA)
+  set_source_files_properties(jac_eq_acopf.cpp PROPERTIES LANGUAGE CUDA)
+endif()
+
+add_executable(jac_eq_acopf jac_eq_acopf.cpp)
+target_link_libraries(jac_eq_acopf ExaGO::OPFLOW)
+target_include_directories(
+  jac_eq_acopf PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/utils
+)
+
+# Numbers of copies of the base network to test
+set(num_copies 1 3 600)
+
+set(solvers "")
+set(models "")
+set(dependencies "")
+
+# Set up Ipopt solver tests if enabled
+if(EXAGO_ENABLE_IPOPT)
+  list(APPEND solvers IPOPT)
+  list(APPEND models POWER_BALANCE_POLAR)
+  list(APPEND dependencies IPOPT)
+endif()
+
+# Set up HIOPSPARSE solver tests if enabled
+if(EXAGO_ENABLE_HIOP_SPARSE)
+  list(APPEND solvers HIOPSPARSE)
+  list(APPEND models POWER_BALANCE_POLAR)
+  list(APPEND dependencies HIOP_SPARSE)
+endif()
+
+if(EXAGO_RUN_TESTS)
+  foreach(
+    model
+    solver
+    dependency
+    IN
+    ZIP_LISTS
+    models
+    solvers
+    dependencies
+  )
+    # Iterate over the numbers of copies
+    foreach(num IN LISTS num_copies)
+      set(testname
+          "UNIT_TESTS_OPFLOW_EQUALITY_CONSTRAINT_JACOBIAN_${num}_${solver}_${model}"
+      )
+      exago_add_test(
+        NAME
+        ${testname}
+        DEPENDS
+        ${dependency}
+        COMMAND
+        ${RUNCMD}
+        $<TARGET_FILE:jac_eq_acopf>
+        -opflow_model
+        ${model}
+        -opflow_solver
+        ${solver}
+        -netfile
+        ${CMAKE_CURRENT_SOURCE_DIR}/CECJ_unittestx${num}.m
+        -num_copies
+        ${num}
+        -validation
+        ${CMAKE_CURRENT_SOURCE_DIR}/cecj.csv
+      )
+      set_tests_properties(${testname} PROPERTIES SKIP_RETURN_CODE 2)
+    endforeach()
+  endforeach()
+endif()
diff --git a/tests/unit/opflow/constraint_jacobian/equality/Jacobian.JPG b/tests/unit/opflow/constraint_jacobian/equality/Jacobian.jpg
similarity index 100%
rename from tests/unit/opflow/constraint_jacobian/equality/Jacobian.JPG
rename to tests/unit/opflow/constraint_jacobian/equality/Jacobian.jpg
diff --git a/tests/unit/opflow/constraint_jacobian/equality/compute_equality_constraints_jacobian_test_design.md b/tests/unit/opflow/constraint_jacobian/equality/README.md
similarity index 82%
rename from tests/unit/opflow/constraint_jacobian/equality/compute_equality_constraints_jacobian_test_design.md
rename to tests/unit/opflow/constraint_jacobian/equality/README.md
index 3f4939ab..4f1cc350 100644
--- a/tests/unit/opflow/constraint_jacobian/equality/compute_equality_constraints_jacobian_test_design.md
+++ b/tests/unit/opflow/constraint_jacobian/equality/README.md
@@ -35,7 +35,12 @@ Dimensions of the matrix are:
 ## Input
 
 ExaGO OPFLOW reads .m file, thus the input file for unit test is in this format.
-A 5-bus system **CECJ-unittestx1.m** will be used as a basis for this test. In addition, an artificial solution vector will be also generated as an input for the test.
+A 5-bus system **CECJ_unittestx1.m** will be used as a basis for this test. In addition, an artificial solution vector will be also generated as an input for the test.
+
+### Test files
+
+- `CECJ_unittestx<N>.m`: N copies of the 5-bus system (N = 1, 3, 600). Regenerate with `python3 gen_network.py <N>`.
+- `cecj.csv`: reference Jacobian for N=1, written by the MATLAB script `gen_cecj.m`. The first line holds the numbers of rows and columns, followed by a 0, and each following line one nonzero as a 1-based `row,column,value` triple. The test replicates it for N copies (see [Scaling](#scaling)).
 
 ### Parameters values in .m file
 
@@ -70,10 +75,10 @@ In general, solution vector has following elements per bus:
 3. Generator MW (if generator bus)
 4. Generator MVar (if generator bus)
 
-For the 5-bus system **CECJ-unittestx1.m**, solution vector is:
+For the 5-bus system **CECJ_unittestx1.m**, solution vector is:
 <table>
 <tr>
-<td>0</td> <td>2</td> <td>0</td> <td>2</td> <td>30</td> <td>2</td> <td>1.6</td> <td>-2.2</td> <td>0</td> <td>2</td> <td>0</td> <td>2</td> 
+<td>0</td> <td>2</td> <td>0</td> <td>2</td> <td>30*PI/180.0</td> <td>2</td> <td>1.6</td> <td>-2.2</td> <td>0</td> <td>2</td> <td>0</td> <td>2</td> 
 </tr>
 </table>
 
@@ -132,10 +137,10 @@ With the parameters of the example network the matrix is:
 <td>Q1</td> <td>-1.6</td> <td>-2.0</td> <td>1.6</td> <td>-0.4</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td>
 </tr>
 <tr>
-<td>P2</td> <td>-0.8</td> <td>-0.8</td> <td>0.8</td> <td>2.8</td> <td>0.8</td> <td>-0.2</td> <td>0</td> <td>0</td> <td>-0.8</td> <td>-0.8</td> <td>0</td> <td>0</td>
+<td>P2</td> <td>-0.8</td> <td>-0.8</td> <td>0.8</td> <td>1.81</td> <td>0.8</td> <td>-0.2</td> <td>0</td> <td>0</td> <td>-0.8</td> <td>-0.8</td> <td>0</td> <td>0</td>
 </tr>
 <tr>
-<td>Q2</td> <td>1.6</td> <td>-0.4</td> <td>-3.6</td> <td>-3.8</td> <td>0.4</td> <td>0.4</td> <td>0</td> <td>0</td> <td>1.6</td> <td>-0.4</td> <td>0</td> <td>0</td>
+<td>Q2</td> <td>1.6</td> <td>-0.4</td> <td>-3.6</td> <td>-3.998</td> <td>0.4</td> <td>0.4</td> <td>0</td> <td>0</td> <td>1.6</td> <td>-0.4</td> <td>0</td> <td>0</td>
 </tr>
 <tr>
 <td>P3</td> <td>0</td> <td>0</td> <td>-0.8</td> <td>0.2</td> <td>0.8</td> <td>1.8</td> <td>-1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td>
@@ -170,7 +175,7 @@ To scale the solution vector, following needs to be done:
 For N=3 the solution vector is:
 <table>
 <tr>
-<td>0   2   0   2   30   2   1.6   -2.2   0   2   0   2</td> <td>0   2   30   2   1.6   -2.2   0   2   0   2</td><td>0   2   30   2   1.6   -2.2   0   2   0   2</td>
+<td>0   2   0   2   30*PI/180.0   2   1.6   -2.2   0   2   0   2</td> <td>0   2   30*PI/180.0   2   1.6   -2.2   0   2   0   2</td><td>0   2   30*PI/180.0   2   1.6   -2.2   0   2   0   2</td>
 </tr>
 </table>
 
@@ -181,3 +186,7 @@ To build a Jacobian matrix when the network is being multiplied the process for
 ![img1.png](Jacobian.jpg)
 
 ### Jacobian for N=3
+
+The network with N copies has 4N+1 buses and N generators, because each copy after the first starts at the last bus of the previous one. The Jacobian therefore has 8N+2 rows and 10N+2 columns, 26 x 32 for N=3.
+
+It is built by placing the N=1 matrix above N times, shifting copy n (n = 0, ..., N-1) by 8n rows and 10n columns. The first two rows and columns of copy n then fall on the last two of copy n-1, and the entries of that shared bus are added.
diff --git a/tests/unit/opflow/constraint_jacobian/equality/cecj.csv b/tests/unit/opflow/constraint_jacobian/equality/cecj.csv
index b6c4eb6d..a1591b6f 100644
--- a/tests/unit/opflow/constraint_jacobian/equality/cecj.csv
+++ b/tests/unit/opflow/constraint_jacobian/equality/cecj.csv
@@ -10,7 +10,7 @@
 3,1,-0.8
 3,2,-0.8
 3,3,0.8
-3,4,2.8
+3,4,1.81
 3,5,0.8
 3,6,-0.2
 3,9,-0.8
@@ -18,7 +18,7 @@
 4,1,1.6
 4,2,-0.4
 4,3,-3.6
-4,4,-3.8
+4,4,-3.998
 4,5,0.4
 4,6,0.4
 4,9,1.6
diff --git a/tests/unit/opflow/constraint_jacobian/equality/Untitled.m b/tests/unit/opflow/constraint_jacobian/equality/gen_cecj.m
similarity index 99%
rename from tests/unit/opflow/constraint_jacobian/equality/Untitled.m
rename to tests/unit/opflow/constraint_jacobian/equality/gen_cecj.m
index 643f3bef..dc40f4f5 100644
--- a/tests/unit/opflow/constraint_jacobian/equality/Untitled.m
+++ b/tests/unit/opflow/constraint_jacobian/equality/gen_cecj.m
@@ -11,6 +11,7 @@
 theta4=deg2rad(0);
 theta5=deg2rad(0);
 
+mvabase = 100;
 
 R=2;
 X=1;
@@ -28,8 +29,8 @@
 Pd=-3.4;
 Qd=8.8;
 
-Gl=0.25;
-Bl=-0.05;
+Gl=0.25 / mvabase;
+Bl=-0.05 / mvabase;
 
 
 theta12=theta1-theta2;
diff --git a/tests/unit/opflow/constraint_jacobian/equality/gen_network.py b/tests/unit/opflow/constraint_jacobian/equality/gen_network.py
new file mode 100644
index 00000000..b2a56c34
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/equality/gen_network.py
@@ -0,0 +1,131 @@
+#!/usr/bin/python
+
+import argparse
+
+
+def header(case_name):
+    output = []
+    output.append("function mpc = " + case_name + "\n")
+    output.append("mpc.version = '2';\n")
+    output.append("mpc.baseMVA =  100.00;\n")
+    output.append("\n")
+    return output
+
+
+def bus(bus_size):
+    output = []
+    output.append("%% bus data\n")
+    output.append("mpc.bus = [\n")
+    output.append( "1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append( "2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append( "3 3  0.00 0.00 0.00  0.00 1 2.0000000 30.000000  13.80 1 1.100 0.900\n")
+    output.append( "4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append( "5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    for i in range(1, int(bus_size)):
+        bus_idx = (i + 1) * 4
+        output.append(f"{bus_idx - 2} " +
+            "1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+        output.append(f"{bus_idx - 1} " +
+            "2  0.00 0.00 0.00  0.00 1 2.0000000 30.000000  13.80 1 1.100 0.900\n")
+        output.append(f"{bus_idx} " +
+            "1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+        output.append(f"{bus_idx + 1} " +
+            "1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def generator(bus_size):
+    output = []
+    output.append("%% generator data\n")
+    output.append("mpc.gen = [\n")
+    for i in range(3, int(bus_size) * 4, 4):
+        output.append(
+            f"{i} 1.60 -2.20 9900.00 -9900.00 2.0000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000\n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def gen_cost(bus_size):
+    output = []
+    output.append("%% generator cost data\n")
+    output.append("mpc.gencost = [\n")
+    for _ in range(int(bus_size)):
+        output.append("2 0 0 3 0.010 0.100 8.00 0.0000 \n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def branch(bus_size):
+    output = []
+    output.append("%% branch data\n")
+    output.append("mpc.branch = [\n")
+    for i in range(int(bus_size)):
+        bus_idx = (4 * i + 1)
+        output.append(f"{bus_idx} {bus_idx + 1} " +
+            "2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00\n")
+        output.append(f"{bus_idx + 1} {bus_idx + 2} " +
+            "2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 0.00 0.00 0.00\n")
+        output.append(f"{bus_idx + 1} {bus_idx + 3} " +
+            "2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00\n")
+        output.append(f"{bus_idx + 3} {bus_idx + 4} " +
+            "2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 0.00 0.00 0.00\n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def bus_names(bus_size):
+    output = []
+    output.append("%% bus names\n")
+    output.append("mpc.bus_name = {\n")
+    for i in range(int(bus_size) * 4 + 1):
+        output.append(f"'{i + 1}';\n")
+    output.append("};\n")
+    output.append("\n")
+    return output
+
+
+def gen_types(bus_size):
+    output = []
+    output.append("%% Generator Unit Types\n")
+    output.append("mpc.gentype = {\n")
+    for i in range(int(bus_size)):
+        output.append("'UN';\n")
+    output.append("};\n")
+    output.append("\n")
+    return output
+
+
+def gen_fuel(bus_size):
+    output = []
+    output.append("%% Generator Fuel Types\n")
+    output.append("mpc.genfuel = {\n")
+    for i in range(int(bus_size)):
+        output.append("'unknown';\n")
+    output.append("};\n")
+    return output
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description='Generate CECJ_unittestx<N>.m, a network of N copies of '
+                    'the 5-bus equality constraint Jacobian test network.')
+    parser.add_argument('network_size', type=int,
+                        help='number of copies N of the 5-bus network')
+    args = parser.parse_args()
+
+    network_length = args.network_size
+    case_name = f'CECJ_unittestx{network_length}'
+
+    print(f'Generating a network of size {network_length}')
+
+    with open(case_name + '.m', 'w') as f:
+        for section in [header(case_name), bus(network_length),
+                        generator(network_length), gen_cost(network_length),
+                        branch(network_length), bus_names(network_length),
+                        gen_types(network_length), gen_fuel(network_length)]:
+            f.writelines(section)
diff --git a/tests/unit/opflow/constraint_jacobian/equality/jac_eq_acopf.cpp b/tests/unit/opflow/constraint_jacobian/equality/jac_eq_acopf.cpp
new file mode 100644
index 00000000..414fdace
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/equality/jac_eq_acopf.cpp
@@ -0,0 +1,209 @@
+#include <fstream>
+#include <iostream>
+#include <cstdio>
+#include <numeric>
+#include <sstream>
+#include <string>
+#include <vector>
+
+#include <opflow.h>
+#include <utils.h>
+#include <test_base.h>
+
+inline constexpr double PI = 3.14159265358979323846;
+
+PetscErrorCode ConstructSolutionVector(Vec *X, int num_copies);
+PetscErrorCode ConstructReferenceJacobian(Mat *J, int num_copies,
+                                          const std::string &reffile);
+
+/**
+ * @brief Unit test driver for the equality constraint Jacobian
+ *
+ * Computes the equality constraint Jacobian of the network at a fixed solution
+ * vector and compares it with the reference Jacobian of the 5-bus network,
+ * replicated `num_copies` times.
+ *
+ * Options (implemented using PETSc options):
+ *
+ *    ~ -netfile <data_file> : Network file, e.g. `CECJ_unittestx<N>.m`.
+ *
+ *    ~ -validation <csv_file> : Reference Jacobian of the 5-bus network, e.g.
+ * `cecj.csv`.
+ *
+ *    ~ -num_copies <number> : Number of copies N of the 5-bus network in the
+ * network file (default 1). If this is not set properly, the test fails.
+ *
+ */
+int main(int argc, char **argv) {
+  PetscBool flg;
+
+  char appname[] = "opflow";
+  char help[] = "Unit tests for equality constraint Jacobians running opflow\n";
+
+  /** Use `ExaGOLogSetLoggingFileName("opflow-logfile");` to log the output. */
+  PetscErrorCode ierr =
+      ExaGOInitialize(MPI_COMM_WORLD, &argc, &argv, appname, help);
+  if (ierr) {
+    fprintf(stderr, "Could not initialize ExaGO application %s.\n", appname);
+    return ierr;
+  }
+
+  /* Get num_copies from command line */
+  int num_copies = 1;
+  PetscCall(PetscOptionsGetInt(NULL, NULL, "-num_copies", &num_copies, &flg));
+
+  /* Get network and reference Jacobian files from command line */
+  char netfile[PETSC_MAX_PATH_LEN] = "";
+  char reffile[PETSC_MAX_PATH_LEN] = "";
+  PetscCall(PetscOptionsGetString(NULL, NULL, "-netfile", netfile,
+                                  PETSC_MAX_PATH_LEN, &flg));
+  PetscCall(PetscOptionsGetString(NULL, NULL, "-validation", reffile,
+                                  PETSC_MAX_PATH_LEN, &flg));
+
+  Mat J_eq_ref;
+  PetscCall(ConstructReferenceJacobian(&J_eq_ref, num_copies, reffile));
+  Vec X;
+
+  OPFLOW opflowtest;
+
+  /* Set up test opflow */
+  PetscCall(OPFLOWCreate(PETSC_COMM_WORLD, &opflowtest));
+  PetscCall(OPFLOWReadMatPowerData(opflowtest, netfile));
+  PetscCall(OPFLOWSetUp(opflowtest));
+
+  PetscCall(ConstructSolutionVector(&X, num_copies));
+
+  std::string solvername;
+  PetscCall(OPFLOWGetSolver(opflowtest, &solvername));
+
+  int fail = 0;
+  if (solvername == "IPOPT" || solvername == "HIOPSPARSE") {
+    Mat J_eq;
+    Mat J_ineq;
+    PetscCall(OPFLOWGetConstraintJacobian(opflowtest, &J_eq, &J_ineq));
+    PetscCall(OPFLOWComputeConstraintJacobian(opflowtest, X, J_eq, J_ineq));
+
+    PetscCall(MatAXPY(J_eq, -1.0, J_eq_ref, UNKNOWN_NONZERO_PATTERN));
+    PetscReal norm = 0.0;
+    PetscCall(MatNorm(J_eq, NORM_INFINITY, &norm));
+    std::cout << "Error norm: " << norm << std::endl;
+    if (norm >= exago::tests::eps) {
+      ++fail;
+      ExaGOLog(EXAGO_LOG_INFO,
+               "Error between Equality Constraint Jacobians ({}) exceeds "
+               "tolerance {}",
+               norm, exago::tests::eps);
+    }
+  } else {
+    ExaGOLog(EXAGO_LOG_INFO, "Skipping test for unsupported solver {}",
+             solvername);
+    fail = exago::tests::SKIP_TEST;
+  }
+
+  PetscCall(OPFLOWDestroy(&opflowtest));
+
+  PetscCall(VecDestroy(&X));
+  PetscCall(MatDestroy(&J_eq_ref));
+
+  ExaGOFinalize();
+  return fail;
+}
+
+PetscErrorCode ConstructSolutionVector(Vec *X, int num_copies) {
+  PetscFunctionBeginUser;
+
+  std::vector<PetscReal> x_base = {0, 2, 0, 2, 30 * PI / 180.0, 2, 1.6, -2.2,
+                                   0, 2, 0, 2};
+  int nvals_base = x_base.size();
+  int nvals = (nvals_base - 2) * num_copies + 2;
+  std::vector<PetscReal> x;
+  x.reserve(nvals);
+  x.assign(begin(x_base), end(x_base));
+  std::vector<PetscInt> is(nvals);
+  std::iota(begin(is), end(is), 0);
+
+  for (int n = 1; n < num_copies; ++n) {
+    for (int i = 2; i < nvals_base; ++i) {
+      x.push_back(x_base[i]);
+    }
+  }
+
+  PetscCall(VecCreateSeq(PETSC_COMM_WORLD, nvals, X));
+  PetscCall(VecSetValues(*X, is.size(), is.data(), x.data(), ADD_VALUES));
+  PetscCall(VecAssemblyBegin(*X));
+  PetscCall(VecAssemblyEnd(*X));
+
+  PetscFunctionReturn(PETSC_SUCCESS);
+}
+
+PetscErrorCode ConstructReferenceJacobian(Mat *J, int num_copies,
+                                          const std::string &reffile) {
+  PetscFunctionBeginUser;
+
+  // Read base Jacobian from file
+  std::ifstream ifs(reffile);
+  if (!ifs) {
+    throw ExaGOError("Unable to open file: " + reffile);
+  }
+  std::string line;
+  int nrows_base, ncols_base;
+  std::vector<PetscInt> i_base;
+  std::vector<PetscInt> j_base;
+  std::vector<PetscReal> v_base;
+  // Read matrix dimensions
+  std::getline(ifs, line);
+  std::istringstream iss(line);
+  std::string dimstr;
+  std::getline(iss, dimstr, ',');
+  std::istringstream(dimstr) >> nrows_base;
+  std::getline(iss, dimstr, ',');
+  std::istringstream(dimstr) >> ncols_base;
+  // Read triples
+  std::string estr;
+  while (std::getline(ifs, line)) {
+    PetscInt i, j;
+    PetscReal v;
+    iss = std::istringstream(line);
+    std::getline(iss, estr, ',');
+    std::istringstream(estr) >> i;
+    std::getline(iss, estr, ',');
+    std::istringstream(estr) >> j;
+    std::getline(iss, estr, ',');
+    std::istringstream(estr) >> v;
+    i_base.push_back(i - 1);
+    j_base.push_back(j - 1);
+    v_base.push_back(v);
+  }
+
+  int nrows = (nrows_base - 2) * num_copies + 2;
+  int ncols = (ncols_base - 2) * num_copies + 2;
+
+  std::vector<PetscInt> i_coo;
+  std::vector<PetscInt> j_coo;
+  std::vector<PetscScalar> v_coo;
+
+  std::size_t ncoo = i_base.size() * num_copies;
+  i_coo.reserve(ncoo);
+  j_coo.reserve(ncoo);
+  v_coo.reserve(ncoo);
+
+  i_coo.assign(begin(i_base), end(i_base));
+  j_coo.assign(begin(j_base), end(j_base));
+  v_coo.assign(begin(v_base), end(v_base));
+
+  for (int n = 1; n < num_copies; ++n) {
+    auto row_start = n * (nrows_base - 2);
+    auto col_start = n * (ncols_base - 2);
+    for (std::size_t c = 0; c < v_base.size(); ++c) {
+      i_coo.push_back(row_start + i_base[c]);
+      j_coo.push_back(col_start + j_base[c]);
+      v_coo.push_back(v_base[c]);
+    }
+  }
+
+  PetscCall(MatCreateSeqAIJFromTriple(PETSC_COMM_WORLD, nrows, ncols,
+                                      i_coo.data(), j_coo.data(), v_coo.data(),
+                                      J, v_coo.size(), PETSC_FALSE));
+
+  PetscFunctionReturn(PETSC_SUCCESS);
+}
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx1.m b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx1.m
new file mode 100644
index 00000000..08ca0ddc
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx1.m
@@ -0,0 +1,49 @@
+function mpc = CICJ_nolinelimits_unittestx1
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
+3 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+];
+
+%% branch data
+mpc.branch = [
+1 2 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+2 3 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+2 4 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+4 5 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+];
+
+%% bus names
+mpc.bus_name = {
+'1';
+'2';
+'3';
+'4';
+'5';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx3.m b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx3.m
new file mode 100644
index 00000000..b09dd82d
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx3.m
@@ -0,0 +1,81 @@
+function mpc = CICJ_nolinelimits_unittestx3
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+6 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+7 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+8 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+9 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+10 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+11 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+12 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+13 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
+3 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+7 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+11 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+];
+
+%% branch data
+mpc.branch = [
+1 2 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+2 3 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+2 4 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+4 5 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+5 6 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+6 7 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+6 8 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+8 9 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+9 10 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+10 11 2.000000 1.000000 1.20000 0.00 0.00 0.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+10 12 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+12 13 2.000000 1.000000 1.20000 0.00 0.00 0.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+];
+
+%% bus names
+mpc.bus_name = {
+'1';
+'2';
+'3';
+'4';
+'5';
+'6';
+'7';
+'8';
+'9';
+'10';
+'11';
+'12';
+'13';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+'UN';
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+'unknown';
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx600.m b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx600.m
new file mode 100644
index 00000000..736df41d
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_nolinelimits_unittestx600.m
@@ -0,0 +1,9633 @@
+function mpc = CICJ_nolinelimits_unittestx600
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+6 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+7 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+8 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+9 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+10 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+11 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+12 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+13 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+14 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+15 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+16 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+17 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+18 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+19 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+20 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+21 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+22 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+23 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+24 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+25 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+26 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+27 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+28 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+29 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+30 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+31 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+32 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+33 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+34 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+35 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+36 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+37 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+38 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+39 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+40 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+41 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+42 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+43 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+44 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+45 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+46 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+47 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+48 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+49 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+50 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+51 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+52 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+53 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+54 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+55 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+56 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+57 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+58 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+59 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+60 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+61 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+62 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+63 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+64 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+65 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+66 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+67 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+68 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+69 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+70 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+71 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+72 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+73 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+74 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+75 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+76 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+77 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+78 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+79 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+80 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+81 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+82 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+83 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+84 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+85 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+86 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+87 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+88 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+89 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+90 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+91 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+92 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+93 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+94 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+95 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+96 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+97 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+98 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+99 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+100 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+101 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+102 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+103 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+104 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+105 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+106 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+107 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+108 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+109 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+110 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+111 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+112 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+113 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+114 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+115 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+116 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+117 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+118 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+119 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+120 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+121 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+122 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+123 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+124 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+125 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+126 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+127 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+128 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+129 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+130 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+131 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+132 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+133 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+134 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+135 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+136 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+137 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+138 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+139 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+140 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+141 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+142 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+143 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+144 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+145 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
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+2292 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
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+2396 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
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+2401 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
+3 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+7 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
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+15 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
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+1967 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1971 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1975 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1979 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1983 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1987 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1991 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1995 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1999 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2003 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2007 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2011 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2015 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2019 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2023 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2027 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2031 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2035 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2039 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2043 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2047 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2051 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2055 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2059 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2063 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2067 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2071 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2075 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2079 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2083 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2087 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2091 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2095 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2099 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2103 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2107 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2111 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2115 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2119 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2123 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2127 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2131 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2135 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2139 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2143 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2147 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2151 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2155 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2159 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2163 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2167 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2171 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2175 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2179 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2183 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2187 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2191 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2195 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2199 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2203 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2207 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2211 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2215 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2219 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2223 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2227 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2231 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2235 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2239 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2243 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2247 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2251 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2255 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2259 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2263 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2267 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2271 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2275 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2279 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2283 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2287 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2291 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2295 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2299 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2303 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2307 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2311 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2315 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2319 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2323 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2327 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2331 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2335 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2339 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2343 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2347 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2351 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2355 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2359 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2363 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2367 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2371 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2375 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2379 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2383 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2387 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2391 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2395 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2399 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
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+'2267';
+'2268';
+'2269';
+'2270';
+'2271';
+'2272';
+'2273';
+'2274';
+'2275';
+'2276';
+'2277';
+'2278';
+'2279';
+'2280';
+'2281';
+'2282';
+'2283';
+'2284';
+'2285';
+'2286';
+'2287';
+'2288';
+'2289';
+'2290';
+'2291';
+'2292';
+'2293';
+'2294';
+'2295';
+'2296';
+'2297';
+'2298';
+'2299';
+'2300';
+'2301';
+'2302';
+'2303';
+'2304';
+'2305';
+'2306';
+'2307';
+'2308';
+'2309';
+'2310';
+'2311';
+'2312';
+'2313';
+'2314';
+'2315';
+'2316';
+'2317';
+'2318';
+'2319';
+'2320';
+'2321';
+'2322';
+'2323';
+'2324';
+'2325';
+'2326';
+'2327';
+'2328';
+'2329';
+'2330';
+'2331';
+'2332';
+'2333';
+'2334';
+'2335';
+'2336';
+'2337';
+'2338';
+'2339';
+'2340';
+'2341';
+'2342';
+'2343';
+'2344';
+'2345';
+'2346';
+'2347';
+'2348';
+'2349';
+'2350';
+'2351';
+'2352';
+'2353';
+'2354';
+'2355';
+'2356';
+'2357';
+'2358';
+'2359';
+'2360';
+'2361';
+'2362';
+'2363';
+'2364';
+'2365';
+'2366';
+'2367';
+'2368';
+'2369';
+'2370';
+'2371';
+'2372';
+'2373';
+'2374';
+'2375';
+'2376';
+'2377';
+'2378';
+'2379';
+'2380';
+'2381';
+'2382';
+'2383';
+'2384';
+'2385';
+'2386';
+'2387';
+'2388';
+'2389';
+'2390';
+'2391';
+'2392';
+'2393';
+'2394';
+'2395';
+'2396';
+'2397';
+'2398';
+'2399';
+'2400';
+'2401';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
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+'unknown';
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+'unknown';
+'unknown';
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+'unknown';
+'unknown';
+'unknown';
+'unknown';
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+'unknown';
+'unknown';
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+'unknown';
+'unknown';
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+'unknown';
+'unknown';
+'unknown';
+'unknown';
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+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
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+'unknown';
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+'unknown';
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+'unknown';
+'unknown';
+'unknown';
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+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittest1.m b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittest1.m
deleted file mode 100644
index a3f80557..00000000
--- a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittest1.m
+++ /dev/null
@@ -1,50 +0,0 @@
-% Case saved by PowerWorld Simulator, version 22, build date March 23, 2021
-function mpc = CIC_unittest1
-mpc.version = '2';
-mpc.baseMVA =  100.00;
-
-%% bus data 
-mpc.bus = [
-1	1	0.00	0.00	0.00	0.00	1	2.0000000	0.000000	138.00	1	1.100	0.900
-2	1	0.00	0.00	0.25	-0.05	1	2.0000000	0.000000	138.00	1	1.100	0.900
-3	3	0.00	0.00	0.00	0.00	1	0.5000000	30.000000	13.80	1	1.100	0.900
-4	1	-3.40	8.80	0.00	0.00	1	2.0000000	0.000000	138.00	1	1.100	0.900
-5	1	0.00	0.00	0.00	0.00	1	2.0000000	0.000000	138.00	1	1.100	0.900
-];
-
-%% generator data 
-mpc.gen = [
-3	1.60	-2.20	197.80	-202.20	0.5000	100.00	1	1.60	1.60	0.00	0.00	0.00	0.00	0.00	0.00	0	0	0	0	10.0000
-];
-
-%% generator cost data
-mpc.gencost = [
-2	0	0	4	0.0000	0.010	0.100	8.00
-];
-
-%% branch data
-mpc.branch = [
-1	2	2.000000	1.000000	1.20000	0.00	0.00	0.00	0.00000	0.000	1	0.00	0.00	0.00	-240.00	0.00	-240.00
-2	3	2.000000	1.000000	1.20000	0.00	0.00	0.00	2.00000	60.000	1	0.00	0.00	0.00	-140.00	200.00	-240.00
-2	4	2.000000	1.000000	1.20000	0.00	0.00	0.00	0.00000	0.000	1	0.00	0.00	0.00	-240.00	0.00	-240.00
-4	5	2.000000	1.000000	1.20000	0.00	0.00	0.00	0.00000	0.000	1	0.00	0.00	0.00	-240.00	0.00	-240.00
-];
-
-%% bus names
-mpc.bus_name = {
-'1';
-'2';
-'3';
-'4';
-'5';
-};
-
-%% Generator Unit Types
-mpc.gentype = {
-'UN';
-};
-
-%% Generator Fuel Types
-mpc.genfuel = {
-'unknown';
-};
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx1.m b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx1.m
new file mode 100644
index 00000000..b817dc71
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx1.m
@@ -0,0 +1,49 @@
+function mpc = CICJ_unittestx1
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
+3 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+];
+
+%% branch data
+mpc.branch = [
+1 2 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+2 3 2.000000 1.000000 1.20000 230.00 230.00 230.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+2 4 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+4 5 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+];
+
+%% bus names
+mpc.bus_name = {
+'1';
+'2';
+'3';
+'4';
+'5';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx3.m b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx3.m
new file mode 100644
index 00000000..65d28ad4
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx3.m
@@ -0,0 +1,81 @@
+function mpc = CICJ_unittestx3
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+6 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+7 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+8 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+9 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+10 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+11 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+12 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+13 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
+3 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+7 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+11 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+];
+
+%% branch data
+mpc.branch = [
+1 2 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+2 3 2.000000 1.000000 1.20000 230.00 230.00 230.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+2 4 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+4 5 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+5 6 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+6 7 2.000000 1.000000 1.20000 230.00 230.00 230.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+6 8 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+8 9 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+9 10 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+10 11 2.000000 1.000000 1.20000 230.00 230.00 230.00 2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00
+10 12 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+12 13 2.000000 1.000000 1.20000 230.00 230.00 230.00 1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00
+];
+
+%% bus names
+mpc.bus_name = {
+'1';
+'2';
+'3';
+'4';
+'5';
+'6';
+'7';
+'8';
+'9';
+'10';
+'11';
+'12';
+'13';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+'UN';
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+'unknown';
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx600.m b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx600.m
new file mode 100644
index 00000000..b5c9d388
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/CICJ_unittestx600.m
@@ -0,0 +1,9633 @@
+function mpc = CICJ_unittestx600
+mpc.version = '2';
+mpc.baseMVA =  100.00;
+
+%% bus data
+mpc.bus = [
+1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+3 3  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+6 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+7 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+8 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+9 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+10 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+11 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+12 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+13 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+14 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+15 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+16 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+17 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+18 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+19 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+20 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+21 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+22 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+23 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+24 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+25 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+26 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+27 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+28 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+29 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+30 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+31 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+32 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+33 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+34 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+35 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+36 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+37 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+38 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+39 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+40 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+41 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+42 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+43 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+44 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+45 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+46 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+47 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+48 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+49 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+50 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+51 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+52 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+53 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+54 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+55 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+56 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+57 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+58 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+59 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+60 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+61 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+62 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+63 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+64 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+65 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+66 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+67 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+68 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+69 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+70 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+71 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+72 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+73 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+74 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+75 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+76 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+77 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+78 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+79 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+80 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+81 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+82 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+83 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+84 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+85 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+86 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+87 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+88 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+89 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+90 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+91 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+92 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+93 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+94 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+95 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+96 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+97 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+98 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+99 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+100 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+101 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+102 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+103 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+104 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+105 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+106 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+107 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+108 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+109 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+110 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
+111 2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900
+112 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+113 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+114 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900
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+2401 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900
+];
+
+%% generator data
+mpc.gen = [
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+1887 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1891 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1895 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1899 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1903 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1907 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1911 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1915 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1919 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1923 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1927 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1931 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1935 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1939 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1943 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1947 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1951 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1955 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1959 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1963 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1967 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1971 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1975 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1979 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1983 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1987 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1991 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1995 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+1999 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2003 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2007 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2011 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2015 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2019 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2023 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2027 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2031 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2035 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2039 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2043 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2047 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2051 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2055 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2059 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2063 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2067 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2071 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2075 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2079 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2083 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2087 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2091 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2095 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2099 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2103 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2107 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2111 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2115 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2119 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2123 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2127 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2131 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2135 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2139 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2143 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2147 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2151 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2155 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2159 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2163 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2167 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2171 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2175 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2179 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2183 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2187 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2191 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2195 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2199 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2203 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2207 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2211 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2215 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2219 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2223 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2227 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2231 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2235 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2239 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2243 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2247 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2251 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2255 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2259 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2263 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2267 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2271 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2275 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2279 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2283 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2287 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2291 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2295 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2299 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2303 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2307 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2311 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2315 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2319 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2323 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2327 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2331 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2335 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2339 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2343 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2347 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2351 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2355 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2359 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2363 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2367 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2371 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2375 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2379 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2383 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2387 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2391 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2395 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+2399 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000
+];
+
+%% generator cost data
+mpc.gencost = [
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
+2 0 0 3 0.010 0.100 8.00 0.0000 
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+'2119';
+'2120';
+'2121';
+'2122';
+'2123';
+'2124';
+'2125';
+'2126';
+'2127';
+'2128';
+'2129';
+'2130';
+'2131';
+'2132';
+'2133';
+'2134';
+'2135';
+'2136';
+'2137';
+'2138';
+'2139';
+'2140';
+'2141';
+'2142';
+'2143';
+'2144';
+'2145';
+'2146';
+'2147';
+'2148';
+'2149';
+'2150';
+'2151';
+'2152';
+'2153';
+'2154';
+'2155';
+'2156';
+'2157';
+'2158';
+'2159';
+'2160';
+'2161';
+'2162';
+'2163';
+'2164';
+'2165';
+'2166';
+'2167';
+'2168';
+'2169';
+'2170';
+'2171';
+'2172';
+'2173';
+'2174';
+'2175';
+'2176';
+'2177';
+'2178';
+'2179';
+'2180';
+'2181';
+'2182';
+'2183';
+'2184';
+'2185';
+'2186';
+'2187';
+'2188';
+'2189';
+'2190';
+'2191';
+'2192';
+'2193';
+'2194';
+'2195';
+'2196';
+'2197';
+'2198';
+'2199';
+'2200';
+'2201';
+'2202';
+'2203';
+'2204';
+'2205';
+'2206';
+'2207';
+'2208';
+'2209';
+'2210';
+'2211';
+'2212';
+'2213';
+'2214';
+'2215';
+'2216';
+'2217';
+'2218';
+'2219';
+'2220';
+'2221';
+'2222';
+'2223';
+'2224';
+'2225';
+'2226';
+'2227';
+'2228';
+'2229';
+'2230';
+'2231';
+'2232';
+'2233';
+'2234';
+'2235';
+'2236';
+'2237';
+'2238';
+'2239';
+'2240';
+'2241';
+'2242';
+'2243';
+'2244';
+'2245';
+'2246';
+'2247';
+'2248';
+'2249';
+'2250';
+'2251';
+'2252';
+'2253';
+'2254';
+'2255';
+'2256';
+'2257';
+'2258';
+'2259';
+'2260';
+'2261';
+'2262';
+'2263';
+'2264';
+'2265';
+'2266';
+'2267';
+'2268';
+'2269';
+'2270';
+'2271';
+'2272';
+'2273';
+'2274';
+'2275';
+'2276';
+'2277';
+'2278';
+'2279';
+'2280';
+'2281';
+'2282';
+'2283';
+'2284';
+'2285';
+'2286';
+'2287';
+'2288';
+'2289';
+'2290';
+'2291';
+'2292';
+'2293';
+'2294';
+'2295';
+'2296';
+'2297';
+'2298';
+'2299';
+'2300';
+'2301';
+'2302';
+'2303';
+'2304';
+'2305';
+'2306';
+'2307';
+'2308';
+'2309';
+'2310';
+'2311';
+'2312';
+'2313';
+'2314';
+'2315';
+'2316';
+'2317';
+'2318';
+'2319';
+'2320';
+'2321';
+'2322';
+'2323';
+'2324';
+'2325';
+'2326';
+'2327';
+'2328';
+'2329';
+'2330';
+'2331';
+'2332';
+'2333';
+'2334';
+'2335';
+'2336';
+'2337';
+'2338';
+'2339';
+'2340';
+'2341';
+'2342';
+'2343';
+'2344';
+'2345';
+'2346';
+'2347';
+'2348';
+'2349';
+'2350';
+'2351';
+'2352';
+'2353';
+'2354';
+'2355';
+'2356';
+'2357';
+'2358';
+'2359';
+'2360';
+'2361';
+'2362';
+'2363';
+'2364';
+'2365';
+'2366';
+'2367';
+'2368';
+'2369';
+'2370';
+'2371';
+'2372';
+'2373';
+'2374';
+'2375';
+'2376';
+'2377';
+'2378';
+'2379';
+'2380';
+'2381';
+'2382';
+'2383';
+'2384';
+'2385';
+'2386';
+'2387';
+'2388';
+'2389';
+'2390';
+'2391';
+'2392';
+'2393';
+'2394';
+'2395';
+'2396';
+'2397';
+'2398';
+'2399';
+'2400';
+'2401';
+};
+
+%% Generator Unit Types
+mpc.gentype = {
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+'UN';
+};
+
+%% Generator Fuel Types
+mpc.genfuel = {
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+'unknown';
+};
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/CMakeLists.txt b/tests/unit/opflow/constraint_jacobian/inequality/CMakeLists.txt
new file mode 100644
index 00000000..bfe84dd2
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/CMakeLists.txt
@@ -0,0 +1,93 @@
+if(EXAGO_ENABLE_RAJA AND EXAGO_ENABLE_CUDA)
+  set_source_files_properties(jac_ineq_acopf.cpp PROPERTIES LANGUAGE CUDA)
+endif()
+
+add_executable(jac_ineq_acopf jac_ineq_acopf.cpp)
+target_link_libraries(jac_ineq_acopf ExaGO::OPFLOW)
+target_include_directories(
+  jac_ineq_acopf PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/utils
+)
+
+# Numbers of copies of the base network to test
+set(num_copies 1 3 600)
+
+set(solvers "")
+set(models "")
+set(dependencies "")
+
+# Set up Ipopt solver tests if enabled
+if(EXAGO_ENABLE_IPOPT)
+  list(APPEND solvers IPOPT)
+  list(APPEND models POWER_BALANCE_POLAR)
+  list(APPEND dependencies IPOPT)
+endif()
+
+# Set up HIOPSPARSE solver tests if enabled
+if(EXAGO_ENABLE_HIOP_SPARSE)
+  list(APPEND solvers HIOPSPARSE)
+  list(APPEND models POWER_BALANCE_POLAR)
+  list(APPEND dependencies HIOP_SPARSE)
+endif()
+
+if(EXAGO_RUN_TESTS)
+  foreach(
+    model
+    solver
+    dependency
+    IN
+    ZIP_LISTS
+    models
+    solvers
+    dependencies
+  )
+    # Iterate over the numbers of copies
+    foreach(num IN LISTS num_copies)
+      set(testname
+          "UNIT_TESTS_OPFLOW_INEQUALITY_CONSTRAINT_JACOBIAN_${num}_${solver}_${model}"
+      )
+      exago_add_test(
+        NAME
+        ${testname}
+        DEPENDS
+        ${dependency}
+        COMMAND
+        ${RUNCMD}
+        $<TARGET_FILE:jac_ineq_acopf>
+        -opflow_model
+        ${model}
+        -opflow_solver
+        ${solver}
+        -netfile
+        ${CMAKE_CURRENT_SOURCE_DIR}/CICJ_unittestx${num}.m
+        -num_copies
+        ${num}
+        -validation
+        ${CMAKE_CURRENT_SOURCE_DIR}/cicj.csv
+      )
+      set_tests_properties(${testname} PROPERTIES SKIP_RETURN_CODE 2)
+
+      exago_add_test(
+        NAME
+        ${testname}_NOLINELIMITS
+        DEPENDS
+        ${dependency}
+        COMMAND
+        ${RUNCMD}
+        $<TARGET_FILE:jac_ineq_acopf>
+        -opflow_model
+        ${model}
+        -opflow_solver
+        ${solver}
+        -netfile
+        ${CMAKE_CURRENT_SOURCE_DIR}/CICJ_nolinelimits_unittestx${num}.m
+        -num_copies
+        ${num}
+        -validation
+        ${CMAKE_CURRENT_SOURCE_DIR}/cicj_nolinelimits.csv
+      )
+      set_tests_properties(
+        ${testname}_NOLINELIMITS PROPERTIES SKIP_RETURN_CODE 2
+      )
+    endforeach()
+  endforeach()
+endif()
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/compute_inequality_constraints_jacobian_test_design.md b/tests/unit/opflow/constraint_jacobian/inequality/README.md
similarity index 80%
rename from tests/unit/opflow/constraint_jacobian/inequality/compute_inequality_constraints_jacobian_test_design.md
rename to tests/unit/opflow/constraint_jacobian/inequality/README.md
index f49d1872..c74cf7a9 100644
--- a/tests/unit/opflow/constraint_jacobian/inequality/compute_inequality_constraints_jacobian_test_design.md
+++ b/tests/unit/opflow/constraint_jacobian/inequality/README.md
@@ -1,7 +1,7 @@
 # Unit Test Design for ExaGO OPFLOW's  Inequality Constraints
 
 ## Goal
-Design the scalable unit test for the OPFLOW function **OPFLOWComputeInequalityConstraints_PBPOL**.
+Design the scalable unit test for the OPFLOW function **OPFLOWComputeInequalityConstraintJacobian_PBPOL**.
 
 ## Inequality constraints
 There are three "sets" of the inequality constraints:
@@ -66,7 +66,13 @@ Dimensions of the matrix are:
 ## Input
 
 ExaGO OPFLOW reads .m file, thus the input file for unit test is in this format.
-A 5-bus system **CICJ-unittestx1.m** will be used as a basis for this test. In addition, an artificial solution vector will be also generated as an input for the test.
+A 5-bus system **CICJ_unittestx1.m** will be used as a basis for this test. In addition, an artificial solution vector will be also generated as an input for the test.
+
+### Test files
+
+- `CICJ_unittestx<N>.m`: N copies of the 5-bus system (N = 1, 3, 600). Regenerate with `python3 gen_network.py <N>`.
+- `CICJ_nolinelimits_unittestx<N>.m`: the same networks with zero line ratings, so OPFLOW creates no line flow constraints and only the generator bus rows remain. Regenerate with `python3 gen_network.py --no-line-limits <N>`. The `_NOLINELIMITS` tests use them with `cicj_nolinelimits.csv`.
+- `cicj.csv` and `cicj_nolinelimits.csv`: reference Jacobians for N=1, written by the MATLAB script `gen_cicj.m` (set `line_limits = false` at its top for `cicj_nolinelimits.csv`). The first line holds the numbers of rows and columns, followed by a 0, and each following line one nonzero as a 1-based `row,column,value` triple. The test replicates it for N copies (see [Scaling](#scaling)).
 
 ### Parameters values in .m file
 
@@ -77,10 +83,11 @@ Following are the values of parameters of interest for this test:
 - $`B_{branch}=1.2`$
 - $`tapratio_{branch}=1`$ for all but transformer that has $`tapratio_{transformer}=2`$
 - $`phaseshift_{branch}=0`$ for all but transformer that has $`phaseshift_{branch}=60`$
+- $`rate_{A}=rate_{B}=rate_{C}=230`$ (0 in the `CICJ_nolinelimits_unittestx<N>.m` networks)
 - $`Q_{gmax}=197.8`$
 - $`Q_{gmin}=-202.2`$
 - $`P_{d}=-3.4`$
-- $`Q_{d}=-8.8`$
+- $`Q_{d}=8.8`$
 - $`G_{l}=0.25`$
 - $`B_{l}=-0.05`$
 
@@ -107,7 +114,7 @@ In general, solution vector has following elements per bus:
 3. Generator MW (if generator bus)
 4. Generator MVar (if generator bus)
 
-For the 5-bus system **CEC-unittestx1.m**, solution vector is:
+For the 5-bus system **CICJ_unittestx1.m**, solution vector is:
 <table>
 <tr>
 <td>0</td> <td>2</td> <td>0</td> <td>2</td> <td>30*PI/180.0</td> <td>2</td> <td>1.6</td> <td>-2.2</td> <td>0</td> <td>2</td> <td>0</td> <td>2</td> 
@@ -163,10 +170,10 @@ With the parameters of the example network the matrix is:
 <td> </td> <td>theta1</td> <td>Vm1</td> <td>theta2</td> <td>Vm2</td> <td>theta3</td> <td>Vm3</td> <td>Pg3</td> <td>Qg3</td> <td>theta4</td> <td>Vm4</td> <td>theta5</td> <td>Vm5</td>
 </tr>
 <tr>
-<td>IEC1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>200</td> <td>0</td> <td>-1.5</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td>
+<td>IEC1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>4.178</td> <td>0</td> <td>-1.5</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td>
 </tr>
 <tr>
-<td>IEC2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>-200</td> <td>0</td> <td>-1.5</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td>
+<td>IEC2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0.178</td> <td>0</td> <td>-1.5</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td>
 </tr>
 <tr>
 <td>Sf12</td> <td>7.68</td> <td>9.6</td> <td>-7.68</td> <td>1.92</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td>
@@ -184,13 +191,13 @@ With the parameters of the example network the matrix is:
 <td>Sf24</td> <td>0</td> <td>0</td> <td>7.68</td> <td>9.6</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>-7.68</td> <td>1.92</td> <td>0</td> <td>0</td>
 </tr>
 <tr>
-<td>St24</td> <td>0</td> <td>0</td> <td>-7.68</td> <td>1.92</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>7.68</td> <td>9.6</td> <td>1.6</td> <td>-0.4</td>
+<td>St24</td> <td>0</td> <td>0</td> <td>-7.68</td> <td>1.92</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>7.68</td> <td>9.6</td> <td>0</td> <td>0</td>
 </tr>
 <tr>
-<td>Sf45</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>15.36</td> <td>19.2</td> <td>-15.36</td> <td>3.84</td>
+<td>Sf45</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>7.68</td> <td>9.6</td> <td>-7.68</td> <td>1.92</td>
 </tr>
 <tr>
-<td>St45</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>-15.36</td> <td>3.94</td> <td>15.36</td> <td>19.2</td>
+<td>St45</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>-7.68</td> <td>1.92</td> <td>7.68</td> <td>9.6</td>
 </tr>
 </table>
 
@@ -218,3 +225,11 @@ To build a Jacobian matrix when the network is being multiplied the process for
 ![img1.png](Jacobian.jpg)
 
 ### Jacobian for N=3
+
+The network with N copies has 4N+1 buses, N generators and 4N lines, because each copy after the first starts at the last bus of the previous one. The Jacobian therefore has 10N rows and 10N+2 columns, 30 x 32 for N=3.
+
+OPFLOW numbers all generator bus constraints before all line flow constraints, so the N=1 matrix above is split when it is replicated:
+- Its first 2 rows (generator bus voltage constraints) become rows 2n and 2n+1 for copy n (n = 0, ..., N-1).
+- Its remaining 8 rows (line flow constraints) become rows 2N+8n to 2N+8n+7 for copy n (n = 0, ..., N-1).
+
+The columns of copy n are shifted by 10n, so its first two columns fall on the last two of copy n-1 (the shared bus). Without line limits, only the 2N generator bus rows remain.
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/cicj.csv b/tests/unit/opflow/constraint_jacobian/inequality/cicj.csv
index 97fbb421..539bcfb4 100644
--- a/tests/unit/opflow/constraint_jacobian/inequality/cicj.csv
+++ b/tests/unit/opflow/constraint_jacobian/inequality/cicj.csv
@@ -1,7 +1,7 @@
 10,12,0
-1,6,200
+1,6,4.178
 1,8,-1.5
-2,6,-200
+2,6,0.178
 2,8,-1.5
 3,1,7.68
 3,2,9.6
@@ -12,7 +12,6 @@
 4,3,7.68
 4,4,9.6
 5,3,-0.32
-5,4,-4.44089209850062e-17
 5,5,0.32
 5,6,0.32
 6,3,-1.28
@@ -27,29 +26,11 @@
 8,4,1.92
 8,9,7.68
 8,10,9.6
-9,9,15.36
-9,10,19.2
-9,11,-15.36
-9,12,3.84
-10,9,-15.36
-10,10,3.84
-10,11,15.36
-10,12,19.2
-7,9,1.6
-7,10,1.6
-7,11,-0.8
-7,12,-0.8
-8,3,1.6
-8,4,-0.4
-8,9,-3.2
-8,10,-4
-8,11,1.6
-8,12,-0.4
-9,9,-0.8
-9,10,-0.8
-9,11,0.8
-9,12,0.8
-10,9,1.6
-10,10,-0.4
-10,11,-1.6
-10,12,-2
+9,9,7.68
+9,10,9.6
+9,11,-7.68
+9,12,1.92
+10,9,-7.68
+10,10,1.92
+10,11,7.68
+10,12,9.6
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/cicj_nolinelimits.csv b/tests/unit/opflow/constraint_jacobian/inequality/cicj_nolinelimits.csv
new file mode 100644
index 00000000..b74d5031
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/cicj_nolinelimits.csv
@@ -0,0 +1,5 @@
+2,12,0
+1,6,4.178
+1,8,-1.5
+2,6,0.178
+2,8,-1.5
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/Untitled.m b/tests/unit/opflow/constraint_jacobian/inequality/gen_cicj.m
similarity index 96%
rename from tests/unit/opflow/constraint_jacobian/inequality/Untitled.m
rename to tests/unit/opflow/constraint_jacobian/inequality/gen_cicj.m
index a88021f1..df76407c 100644
--- a/tests/unit/opflow/constraint_jacobian/inequality/Untitled.m
+++ b/tests/unit/opflow/constraint_jacobian/inequality/gen_cicj.m
@@ -1,3 +1,6 @@
+% Set to false for CICJ_nolinelimits_unittestx*.m (zero line ratings)
+line_limits = true;
+
 Vm=2;
 Vm1=2;
 Vm2=2;
@@ -12,6 +15,7 @@
 theta4=deg2rad(0);
 theta5=deg2rad(0);
 
+mvabase=100;
 
 R=2;
 X=1;
@@ -25,8 +29,8 @@
 
 Pg=1.6;
 Qg=-2.2;
-Qmax=197.8;
-Qmin=-202.2;
+Qmax=197.8 / mvabase;
+Qmin=-202.2 / mvabase;
 
 Pd=-3.4;
 Qd=8.8;
@@ -247,10 +251,10 @@
 Sf45 = Pf45*Pf45 + Qf45*Qf45;
 St45 = Pt45*Pt45 + Qt45*Qt45;
 
-dSf45dPf45 = 4*Pf45;
-dSf45dQf45 = 4*Qf45;
-dSt45dPt45 = 4*Pt45;
-dSt45dQt45 = 4*Qt45;
+dSf45dPf45 = 2*Pf45;
+dSf45dQf45 = 2*Qf45;
+dSt45dPt45 = 2*Pt45;
+dSt45dQt45 = 2*Qt45;
 
 dSf45dVm4 =    (dSf45dPf45*dPf45dVm4+   dSf45dQf45*dQf45dVm4)*multiplier;
 dSf45dVm5 =    (dSf45dPf45*dPf45dVm5+   dSf45dQf45*dQf45dVm5)*multiplier;
@@ -318,6 +322,14 @@
 J(9,12) = dSf45dVm5;
 J(10,12) = dSt45dVm5;
 
+csvfile = 'cicj.csv';
+if ~line_limits
+    % Only the generator bus constraints remain
+    Line = 0;
+    J = J(1:2*Gen,:);
+    csvfile = 'cicj_nolinelimits.csv';
+end
+
 J
 
 JW(1,1) =  2*Line+2*Gen;
@@ -334,5 +346,5 @@
         end
     end
 end
-writematrix(JW,'cicj.csv') 
+writematrix(JW,csvfile)
             
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/gen_network.py b/tests/unit/opflow/constraint_jacobian/inequality/gen_network.py
new file mode 100644
index 00000000..284aff56
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/gen_network.py
@@ -0,0 +1,142 @@
+#!/usr/bin/python
+
+import argparse
+
+
+def header(case_name):
+    output = []
+    output.append("function mpc = " + case_name + "\n")
+    output.append("mpc.version = '2';\n")
+    output.append("mpc.baseMVA =  100.00;\n")
+    output.append("\n")
+    return output
+
+
+def bus(bus_size):
+    output = []
+    output.append("%% bus data\n")
+    output.append("mpc.bus = [\n")
+    output.append( "1 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append( "2 1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append( "3 3  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900\n")
+    output.append( "4 1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append( "5 1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    for i in range(1, int(bus_size)):
+        bus_idx = (i + 1) * 4
+        output.append(f"{bus_idx - 2} " +
+            "1  0.00 0.00 0.25 -0.05 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+        output.append(f"{bus_idx - 1} " +
+            "2  0.00 0.00 0.00  0.00 1 0.5000000 30.000000  13.80 1 1.100 0.900\n")
+        output.append(f"{bus_idx} " +
+            "1 -3.40 8.80 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+        output.append(f"{bus_idx + 1} " +
+            "1  0.00 0.00 0.00  0.00 1 2.0000000  0.000000 138.00 1 1.100 0.900\n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def generator(bus_size):
+    output = []
+    output.append("%% generator data\n")
+    output.append("mpc.gen = [\n")
+    for i in range(3, int(bus_size) * 4, 4):
+        output.append(
+            f"{i} 1.60 -2.20 197.80 -202.20 0.5000 100.00 1 1.60 1.60 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 0 10.0000\n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def gen_cost(bus_size):
+    output = []
+    output.append("%% generator cost data\n")
+    output.append("mpc.gencost = [\n")
+    for _ in range(int(bus_size)):
+        output.append("2 0 0 3 0.010 0.100 8.00 0.0000 \n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def branch(bus_size, rate):
+    output = []
+    output.append("%% branch data\n")
+    output.append("mpc.branch = [\n")
+    rates = f"{rate:.2f} {rate:.2f} {rate:.2f}"
+    for i in range(int(bus_size)):
+        bus_idx = (4 * i + 1)
+        output.append(f"{bus_idx} {bus_idx + 1} 2.000000 1.000000 1.20000 {rates} " +
+            "1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00\n")
+        output.append(f"{bus_idx + 1} {bus_idx + 2} 2.000000 1.000000 1.20000 {rates} " +
+            "2.00000 60.000 1 0.00 0.00 0.00 -140.00 200.00 -240.00\n")
+        output.append(f"{bus_idx + 1} {bus_idx + 3} 2.000000 1.000000 1.20000 {rates} " +
+            "1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00\n")
+        output.append(f"{bus_idx + 3} {bus_idx + 4} 2.000000 1.000000 1.20000 {rates} " +
+            "1.00000  0.000 1 0.00 0.00 0.00 -240.00   0.00 -240.00\n")
+    output.append("];\n")
+    output.append("\n")
+    return output
+
+
+def bus_names(bus_size):
+    output = []
+    output.append("%% bus names\n")
+    output.append("mpc.bus_name = {\n")
+    for i in range(int(bus_size) * 4 + 1):
+        output.append(f"'{i + 1}';\n")
+    output.append("};\n")
+    output.append("\n")
+    return output
+
+
+def gen_types(bus_size):
+    output = []
+    output.append("%% Generator Unit Types\n")
+    output.append("mpc.gentype = {\n")
+    for i in range(int(bus_size)):
+        output.append("'UN';\n")
+    output.append("};\n")
+    output.append("\n")
+    return output
+
+
+def gen_fuel(bus_size):
+    output = []
+    output.append("%% Generator Fuel Types\n")
+    output.append("mpc.genfuel = {\n")
+    for i in range(int(bus_size)):
+        output.append("'unknown';\n")
+    output.append("};\n")
+    return output
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description='Generate CICJ_unittestx<N>.m, a network of N copies of '
+                    'the 5-bus inequality constraint Jacobian test network.')
+    parser.add_argument('network_size', type=int,
+                        help='number of copies N of the 5-bus network')
+    parser.add_argument('--no-line-limits', action='store_true',
+                        help='set line ratings to 0, so OPFLOW creates no line '
+                             'flow constraints, and write '
+                             'CICJ_nolinelimits_unittestx<N>.m instead')
+    args = parser.parse_args()
+
+    network_length = args.network_size
+    if args.no_line_limits:
+        case_name = f'CICJ_nolinelimits_unittestx{network_length}'
+        rate = 0.0
+    else:
+        case_name = f'CICJ_unittestx{network_length}'
+        rate = 230.0
+
+    print(f'Generating a network of size {network_length}')
+
+    with open(case_name + '.m', 'w') as f:
+        for section in [header(case_name), bus(network_length),
+                        generator(network_length), gen_cost(network_length),
+                        branch(network_length, rate),
+                        bus_names(network_length), gen_types(network_length),
+                        gen_fuel(network_length)]:
+            f.writelines(section)
diff --git a/tests/unit/opflow/constraint_jacobian/inequality/jac_ineq_acopf.cpp b/tests/unit/opflow/constraint_jacobian/inequality/jac_ineq_acopf.cpp
new file mode 100644
index 00000000..2705cdb3
--- /dev/null
+++ b/tests/unit/opflow/constraint_jacobian/inequality/jac_ineq_acopf.cpp
@@ -0,0 +1,216 @@
+#include <fstream>
+#include <iostream>
+#include <cstdio>
+#include <numeric>
+#include <sstream>
+#include <string>
+#include <vector>
+
+#include <opflow.h>
+#include <utils.h>
+#include <test_base.h>
+
+inline constexpr double PI = 3.14159265358979323846;
+
+PetscErrorCode ConstructSolutionVector(Vec *X, int num_copies);
+PetscErrorCode ConstructReferenceJacobian(Mat *J, int num_copies,
+                                          const std::string &reffile);
+
+/**
+ * @brief Unit test driver for the inequality constraint Jacobian
+ *
+ * Computes the inequality constraint Jacobian of the network at a fixed
+ * solution vector and compares it with the reference Jacobian of the 5-bus
+ * network, replicated `num_copies` times.
+ *
+ * Options (implemented using PETSc options):
+ *
+ *    ~ -netfile <data_file> : Network file, e.g. `CICJ_unittestx<N>.m` or
+ * `CICJ_nolinelimits_unittestx<N>.m`.
+ *
+ *    ~ -validation <csv_file> : Reference Jacobian of the 5-bus network, e.g.
+ * `cicj.csv` or `cicj_nolinelimits.csv`.
+ *
+ *    ~ -num_copies <number> : Number of copies N of the 5-bus network in the
+ * network file (default 1). If this is not set properly, the test fails.
+ *
+ */
+int main(int argc, char **argv) {
+  PetscBool flg;
+
+  char appname[] = "opflow";
+  char help[] =
+      "Unit tests for inequality constraint Jacobians running opflow\n";
+
+  /** Use `ExaGOLogSetLoggingFileName("opflow-logfile");` to log the output. */
+  PetscErrorCode ierr =
+      ExaGOInitialize(MPI_COMM_WORLD, &argc, &argv, appname, help);
+  if (ierr) {
+    fprintf(stderr, "Could not initialize ExaGO application %s.\n", appname);
+    return ierr;
+  }
+
+  /* Get num_copies from command line */
+  int num_copies = 1;
+  PetscCall(PetscOptionsGetInt(NULL, NULL, "-num_copies", &num_copies, &flg));
+
+  /* Get network and reference Jacobian files from command line */
+  char netfile[PETSC_MAX_PATH_LEN] = "";
+  char reffile[PETSC_MAX_PATH_LEN] = "";
+  PetscCall(PetscOptionsGetString(NULL, NULL, "-netfile", netfile,
+                                  PETSC_MAX_PATH_LEN, &flg));
+  PetscCall(PetscOptionsGetString(NULL, NULL, "-validation", reffile,
+                                  PETSC_MAX_PATH_LEN, &flg));
+
+  Mat J_ineq_ref;
+  PetscCall(ConstructReferenceJacobian(&J_ineq_ref, num_copies, reffile));
+  Vec X;
+
+  OPFLOW opflowtest;
+
+  /* Set up test opflow */
+  PetscCall(OPFLOWCreate(PETSC_COMM_WORLD, &opflowtest));
+  PetscCall(OPFLOWReadMatPowerData(opflowtest, netfile));
+  PetscCall(OPFLOWSetGenBusVoltageType(opflowtest, FIXED_WITHIN_QBOUNDS));
+  PetscCall(OPFLOWSetUp(opflowtest));
+
+  PetscCall(ConstructSolutionVector(&X, num_copies));
+
+  std::string solvername;
+  PetscCall(OPFLOWGetSolver(opflowtest, &solvername));
+
+  int fail = 0;
+  if (solvername == "IPOPT" || solvername == "HIOPSPARSE") {
+    Mat J_eq;
+    Mat J_ineq;
+    PetscCall(OPFLOWGetConstraintJacobian(opflowtest, &J_eq, &J_ineq));
+    PetscCall(OPFLOWComputeConstraintJacobian(opflowtest, X, J_eq, J_ineq));
+
+    PetscCall(MatAXPY(J_ineq, -1.0, J_ineq_ref, UNKNOWN_NONZERO_PATTERN));
+    PetscReal norm = 0.0;
+    PetscCall(MatNorm(J_ineq, NORM_INFINITY, &norm));
+    std::cout << "Error norm: " << norm << std::endl;
+    if (norm >= exago::tests::eps) {
+      ++fail;
+      ExaGOLog(EXAGO_LOG_INFO,
+               "Error between Inequality Constraint Jacobians ({}) exceeds "
+               "tolerance {}",
+               norm, exago::tests::eps);
+    }
+  } else {
+    ExaGOLog(EXAGO_LOG_INFO, "Skipping test for unsupported solver {}",
+             solvername);
+    fail = exago::tests::SKIP_TEST;
+  }
+
+  PetscCall(OPFLOWDestroy(&opflowtest));
+
+  PetscCall(VecDestroy(&X));
+  PetscCall(MatDestroy(&J_ineq_ref));
+
+  ExaGOFinalize();
+  return fail;
+}
+
+PetscErrorCode ConstructSolutionVector(Vec *X, int num_copies) {
+  PetscFunctionBeginUser;
+
+  std::vector<PetscReal> x_base = {0, 2, 0, 2, 30 * PI / 180.0, 2, 1.6, -2.2,
+                                   0, 2, 0, 2};
+  int nvals_base = x_base.size();
+  int nvals = (nvals_base - 2) * num_copies + 2;
+  std::vector<PetscReal> x;
+  x.reserve(nvals);
+  x.assign(begin(x_base), end(x_base));
+  std::vector<PetscInt> is(nvals);
+  std::iota(begin(is), end(is), 0);
+
+  for (int n = 1; n < num_copies; ++n) {
+    for (int i = 2; i < nvals_base; ++i) {
+      x.push_back(x_base[i]);
+    }
+  }
+
+  PetscCall(VecCreateSeq(PETSC_COMM_WORLD, nvals, X));
+  PetscCall(VecSetValues(*X, is.size(), is.data(), x.data(), ADD_VALUES));
+  PetscCall(VecAssemblyBegin(*X));
+  PetscCall(VecAssemblyEnd(*X));
+  PetscFunctionReturn(PETSC_SUCCESS);
+}
+
+PetscErrorCode ConstructReferenceJacobian(Mat *J, int num_copies,
+                                          const std::string &reffile) {
+  PetscFunctionBeginUser;
+
+  // Read base Jacobian from file
+  std::ifstream ifs(reffile);
+  if (!ifs) {
+    throw ExaGOError("Unable to open file: " + reffile);
+  }
+  std::string line;
+  int nrows_base, ncols_base;
+  std::vector<PetscInt> i_base;
+  std::vector<PetscInt> j_base;
+  std::vector<PetscReal> v_base;
+  // Read matrix dimensions
+  std::getline(ifs, line);
+  std::istringstream iss(line);
+  std::string dimstr;
+  std::getline(iss, dimstr, ',');
+  std::istringstream(dimstr) >> nrows_base;
+  std::getline(iss, dimstr, ',');
+  std::istringstream(dimstr) >> ncols_base;
+  // Read triples
+  std::string estr;
+  while (std::getline(ifs, line)) {
+    PetscInt i, j;
+    PetscReal v;
+    iss = std::istringstream(line);
+    std::getline(iss, estr, ',');
+    std::istringstream(estr) >> i;
+    std::getline(iss, estr, ',');
+    std::istringstream(estr) >> j;
+    std::getline(iss, estr, ',');
+    std::istringstream(estr) >> v;
+    i_base.push_back(i - 1);
+    j_base.push_back(j - 1);
+    v_base.push_back(v);
+  }
+
+  // The first 2 rows are generator bus constraints. OPFLOW numbers all bus
+  // constraints before all line flow constraints.
+  int nrows_top = 2 * num_copies;
+  int nrows = nrows_base * num_copies;
+  int ncols = (ncols_base - 2) * num_copies + 2;
+
+  std::vector<PetscInt> i_coo;
+  std::vector<PetscInt> j_coo;
+  std::vector<PetscScalar> v_coo;
+
+  std::size_t ncoo = i_base.size() * num_copies;
+  i_coo.reserve(ncoo);
+  j_coo.reserve(ncoo);
+  v_coo.reserve(ncoo);
+
+  for (int n = 0; n < num_copies; ++n) {
+    auto row_start_top = n * 2;
+    auto row_start = nrows_top + n * (nrows_base - 2);
+    auto col_start = n * (ncols_base - 2);
+    for (std::size_t c = 0; c < v_base.size(); ++c) {
+      auto i = i_base[c];
+      if (i < 2) {
+        i_coo.push_back(row_start_top + i);
+      } else {
+        i_coo.push_back(row_start + i - 2);
+      }
+      j_coo.push_back(col_start + j_base[c]);
+      v_coo.push_back(v_base[c]);
+    }
+  }
+
+  PetscCall(MatCreateSeqAIJFromTriple(PETSC_COMM_WORLD, nrows, ncols,
+                                      i_coo.data(), j_coo.data(), v_coo.data(),
+                                      J, v_coo.size(), PETSC_FALSE));
+
+  PetscFunctionReturn(PETSC_SUCCESS);
+}
diff --git a/tests/unit/opflow/gradient/README.md b/tests/unit/opflow/gradient/README.md
index 18c85660..cc8d6d59 100644
--- a/tests/unit/opflow/gradient/README.md
+++ b/tests/unit/opflow/gradient/README.md
@@ -1,5 +1,5 @@
-See [objective_function_g_test_design.md](./tests/unit/opflow/gradient/objective_function_g_test_design.md) for a description of how this unit test is formulated.
+See [objective_function_g_test_design.md](./objective_function_g_test_design.md) for a description of how this unit test is formulated.
 
-Please use the script [gen_network.py](./tests/unit/opflow/objective/gen_network.py) to generate a new network if necessary. The script takes either a command line argument, or prompts you for the desired network size.
+Please use the script [gen_network.py](./gen_network.py) to generate a new network if necessary. The script takes either a command line argument, or prompts you for the desired network size.
 
-The existing datafiles for this unit test is stored in [datafiles/unit/opflow/gradient](./datafiles/unit/opflow/gradient).
+The existing datafiles for this unit test is stored in [datafiles/unit/opflow/gradient](../../../../datafiles/unit/opflow/gradient).
diff --git a/tests/unit/opflow/hessian/README.md b/tests/unit/opflow/hessian/README.md
new file mode 100644
index 00000000..c7f0ff86
--- /dev/null
+++ b/tests/unit/opflow/hessian/README.md
@@ -0,0 +1,17 @@
+## Hessian Definition
+```math
+\begin{aligned}
+H \equiv \nabla^2 f(x) + \sum_{i=1}^{n_c} y_{c,i} \nabla^2 c_i(x) + \sum_{i=1}^{n_d} y_{d,i} \nabla^2 d_i(x)
+\end{aligned}
+```
+Here $`H`$ is the Hessian, $`f(x)`$ is the objective function, $`y_{c,i}`$ are the equality constraints and $`y_{d,i}`$ are the inequality constraints.
+See the explicit derivatives documented [here](/docs/opflow/pbpol.md).
+## Input
+
+ExaGO OPFLOW reads .m file, thus the input file for unit test is in this format.
+A 5-bus system **CICJ_unittestx1.m** will be used as a basis for this test. In addition, an artifical solution vector will be also generated as an input for the test.
+
+### Hessian sparsity structure:
+
+The Hessian has the following sparsity structure for our test:
+![hessian_sparsity.png](/tests/unit/opflow/hessian/hessian_sparsity.png)
diff --git a/tests/unit/opflow/hessian/hessian_sparsity.png b/tests/unit/opflow/hessian/hessian_sparsity.png
new file mode 100644
index 00000000..09f8b496
Binary files /dev/null and b/tests/unit/opflow/hessian/hessian_sparsity.png differ
diff --git a/tests/unit/opflow/objective/CMakeLists.txt b/tests/unit/opflow/objective/CMakeLists.txt
index 0b89bff6..f03f1ee3 100644
--- a/tests/unit/opflow/objective/CMakeLists.txt
+++ b/tests/unit/opflow/objective/CMakeLists.txt
@@ -3,15 +3,20 @@ if(EXAGO_ENABLE_RAJA AND EXAGO_ENABLE_CUDA)
 endif()
 
 add_executable(
-  objective_acopf objective_acopf.cpp ../../utils/test_acopf_utils.cpp
+  objective_acopf objective_acopf.cpp
+                  ${CMAKE_SOURCE_DIR}/tests/unit/utils/test_acopf_utils.cpp
 )
 target_link_libraries(objective_acopf ExaGO::OPFLOW)
-target_include_directories(objective_acopf PRIVATE ../../utils)
-target_include_directories(objective_acopf PRIVATE ../)
+target_include_directories(
+  objective_acopf PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/utils
+)
+target_include_directories(
+  objective_acopf PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/opflow
+)
 
 # Network files to run on - doing 3 and 600 bus examples.
 set(prefix ${CMAKE_SOURCE_DIR}/datafiles/unit/opflow/objective/)
-set(obj_network_files OF_unittestx3.m OF_unittestx600.m)
+set(obj_network_files testx3.m testx600.m)
 # Map num_copies to a specific netfile
 set(num_copies 3 600)
 
@@ -40,7 +45,7 @@ if(EXAGO_RUN_TESTS)
     # Iterate over networks, matching network file to num_copies
     foreach(network num IN ZIP_LISTS obj_network_files num_copies)
       get_filename_component(net ${network} NAME)
-      set(testname "UNIT_TESTS_OBJECTIVE_SIZE_${net}_${solver}_${model}")
+      set(testname "UNIT_TESTS_OPFLOW_OBJECTIVE_${net}_${solver}_${model}")
       exago_add_test(
         NAME
         ${testname}
diff --git a/tests/unit/opflow/objective/README.md b/tests/unit/opflow/objective/README.md
index 08db26a6..2c9f7c29 100644
--- a/tests/unit/opflow/objective/README.md
+++ b/tests/unit/opflow/objective/README.md
@@ -1,5 +1,5 @@
-See [objective_function_test_design.md](./tests/unit/opflow/objective/objective_function_test_design.md) for a description of how this unit test is formulated.
+See [objective_function_test_design.md](./objective_function_test_design.md) for a description of how this unit test is formulated.
 
-Please use the script [gen_network.py](./tests/unit/opflow/objective/gen_network.py) to generate a new network if necessary. The script takes either a command line argument, or prompts you for the desired network size.
+Please use the script [gen_network.py](./gen_network.py) to generate a new network if necessary. The script takes either a command line argument, or prompts you for the desired network size.
 
-The existing datafiles for this unit test is stored in [datafiles/unit/opflow/objective](./datafiles/unit/opflow/objective).
+The existing datafiles for this unit test is stored in [datafiles/unit/opflow/objective](../../../../datafiles/unit/opflow/objective).
diff --git a/tests/unit/opflow/opflow_tests.h b/tests/unit/opflow/opflow_tests.h
index e061a41e..2fff99a0 100644
--- a/tests/unit/opflow/opflow_tests.h
+++ b/tests/unit/opflow/opflow_tests.h
@@ -447,13 +447,20 @@ class TestOpflow : public TestBase {
     Vec temp1, temp2;
     PetscInt nrow, ncol;
 
+    // Create constraint Jacobian matrices to compare against
     ierr = MatDuplicate(Jeqref, MAT_DO_NOT_COPY_VALUES, &Jeq);
     CHKERRQ(ierr);
-    ierr = MatDuplicate(Jineqref, MAT_DO_NOT_COPY_VALUES, &Jineq);
-    CHKERRQ(ierr);
+    std::cout << "opflow->Nconineq: " << opflow->Nconineq << "\n";
+    if (opflow->Nconineq) {
+      ierr = MatDuplicate(Jineqref, MAT_DO_NOT_COPY_VALUES, &Jineq);
+      CHKERRQ(ierr);
+    }
+
+    // Compute constraint Jacobians
     ierr = OPFLOWComputeConstraintJacobian(opflow, X, Jeq, Jineq);
     CHKERRQ(ierr);
 
+    // Verify equality constraint Jacobian
     ierr = MatGetSize(Jeq, &nrow, &ncol);
     CHKERRQ(ierr);
     ierr = VecCreate(MPI_COMM_SELF, &temp1);
@@ -480,36 +487,40 @@ class TestOpflow : public TestBase {
     ierr = VecDestroy(&temp2);
     CHKERRQ(ierr);
 
-    ierr = MatGetSize(Jineq, &nrow, &ncol);
-    CHKERRQ(ierr);
-    ierr = VecCreate(MPI_COMM_SELF, &temp1);
-    CHKERRQ(ierr);
-    ierr = VecSetSizes(temp1, nrow, nrow);
+    ierr = MatDestroy(&Jeq);
     CHKERRQ(ierr);
-    ierr = VecSetFromOptions(temp1);
 
-    ierr = VecDuplicate(temp1, &temp2);
-    CHKERRQ(ierr);
+    if (opflow->Nconineq) {
+      // Verify inequality constraint Jacobian
+      ierr = MatGetSize(Jineq, &nrow, &ncol);
+      CHKERRQ(ierr);
+      ierr = VecCreate(MPI_COMM_SELF, &temp1);
+      CHKERRQ(ierr);
+      ierr = VecSetSizes(temp1, nrow, nrow);
+      CHKERRQ(ierr);
+      ierr = VecSetFromOptions(temp1);
 
-    ierr = VecSet(temp1, 0.0);
-    ierr = VecSet(temp2, 0.0);
+      ierr = VecDuplicate(temp1, &temp2);
+      CHKERRQ(ierr);
 
-    ierr = MatMult(Jineq, X, temp1);
-    CHKERRQ(ierr);
-    ierr = MatMult(Jineqref, X, temp2);
-    CHKERRQ(ierr);
+      ierr = VecSet(temp1, 0.0);
+      ierr = VecSet(temp2, 0.0);
 
-    fail += verifyAnswer(temp1, temp2);
+      ierr = MatMult(Jineq, X, temp1);
+      CHKERRQ(ierr);
+      ierr = MatMult(Jineqref, X, temp2);
+      CHKERRQ(ierr);
 
-    ierr = VecDestroy(&temp1);
-    CHKERRQ(ierr);
-    ierr = VecDestroy(&temp2);
-    CHKERRQ(ierr);
+      fail += verifyAnswer(temp1, temp2);
 
-    ierr = MatDestroy(&Jeq);
-    CHKERRQ(ierr);
-    ierr = MatDestroy(&Jineq);
-    CHKERRQ(ierr);
+      ierr = VecDestroy(&temp1);
+      CHKERRQ(ierr);
+      ierr = VecDestroy(&temp2);
+      CHKERRQ(ierr);
+
+      ierr = MatDestroy(&Jineq);
+      CHKERRQ(ierr);
+    }
 
     cleanup(fail, opflow);
   }
@@ -691,8 +702,103 @@ class TestOpflow : public TestBase {
   }
 
 #if defined(EXAGO_ENABLE_RAJA)
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
   /**
    * @brief Specific test for computing the constraint Jacobian using HiOp
+   * Sparse
+   *
+   * @param x is in sparse-dense ordering
+   * @param Jeqref is in application ordering
+   * @param Jineqref is in application ordering
+   *
+   * @pre The flag _opflow_->nconineq determines the presence of inequality
+   * constraints. If the flag is set, checking against Jineqref_nat can be
+   * skipped entirely.
+   * @pre _Jeqref_nat_ and _Jineqref_nat_ have the same number of columns, but
+   * not the same number of rows
+   */
+  LocalOrdinalType computeConstraintJacobian(OPFLOW opflow, double *x_dev,
+                                             Mat Jeqref_nat, Mat Jineqref_nat,
+                                             umpire::ResourceManager &resmgr) {
+    PetscErrorCode ierr;
+    LocalOrdinalType fail = 0;
+
+    // Get allocators
+    umpire::Allocator h_allocator = resmgr.getAllocator("HOST");
+
+    // Get the hiop sparse matrix solution to test against
+    int *iRow, *jCol, *iRow_dev, *jCol_dev;
+    double *values, *values_dev;
+    int nnz = opflow->nnz_eqjacsp + opflow->nnz_ineqjacsp;
+
+    iRow = static_cast<int *>(h_allocator.allocate(nnz * sizeof(int)));
+    jCol = static_cast<int *>(h_allocator.allocate(nnz * sizeof(int)));
+    values = static_cast<double *>(h_allocator.allocate(nnz * sizeof(double)));
+
+#ifdef EXAGO_ENABLE_GPU
+    umpire::Allocator d_allocator = resmgr.getAllocator("DEVICE");
+    iRow_dev = static_cast<int *>(d_allocator.allocate(nnz * sizeof(int)));
+    jCol_dev = static_cast<int *>(d_allocator.allocate(nnz * sizeof(int)));
+    values_dev =
+        static_cast<double *>(d_allocator.allocate(nnz * sizeof(double)));
+#else
+    iRow_dev = iRow;
+    jCol_dev = jCol;
+    values_dev = values;
+#endif
+
+    // Compute equality constraints
+    ierr = (*opflow->modelops.computesparseequalityconstraintjacobianhiop)(
+        opflow, x_dev, iRow_dev, jCol_dev, values_dev);
+    CHKERRQ(ierr);
+
+    // Checking for the presence of inequality constraints on the given problem
+    // Compute inequality constraints
+    if (opflow->Nconineq) {
+      ierr = (*opflow->modelops.computesparseinequalityconstraintjacobianhiop)(
+          opflow, x_dev, iRow_dev, jCol_dev, values_dev);
+      CHKERRQ(ierr);
+    }
+
+    // Copy from device to host
+    resmgr.copy(iRow, iRow_dev);
+    resmgr.copy(jCol, jCol_dev);
+    resmgr.copy(values, values_dev);
+
+    // Verify equality constraints
+    fail += verifyAnswer(Jeqref_nat, opflow->nnz_eqjacsp, iRow, jCol, values);
+
+    // Checking for the presence of inequality constraints on the given problem
+    // Verify inequality constraints
+    if (opflow->Nconineq) {
+      // The equality and inequality constraint Jacobians are stacked one after
+      // the other. Offset row and nnz
+      int nnz_offset = opflow->nnz_eqjacsp;
+      int row_offset = opflow->nconeq;
+      for (int i = 0; i < opflow->nnz_ineqjacsp; i++) {
+        iRow[i + nnz_offset] -= row_offset;
+      }
+
+      fail +=
+          verifyAnswer(Jineqref_nat, opflow->nnz_ineqjacsp, iRow + nnz_offset,
+                       jCol + nnz_offset, values + nnz_offset);
+    }
+
+    // Cleanup
+    h_allocator.deallocate(iRow);
+    h_allocator.deallocate(jCol);
+    h_allocator.deallocate(values);
+#ifdef EXAGO_ENABLE_GPU
+    d_allocator.deallocate(iRow_dev);
+    d_allocator.deallocate(jCol_dev);
+    d_allocator.deallocate(values_dev);
+#endif
+    cleanup(fail, opflow);
+  }
+
+#else
+  /**
+   * @brief Specific test for computing the constraint Jacobian using HiOp MDS
    *
    * @param x is in sparse-dense ordering
    * @param Jeqref is in application ordering
@@ -915,7 +1021,8 @@ class TestOpflow : public TestBase {
 #endif
     cleanup(fail, opflow);
   }
-#endif
+#endif // EXAGO_ENABLE_HIOP_SPARSE
+#endif // EXAGO_ENABLE_RAJA
 
   LocalOrdinalType computeHessian(OPFLOW opflow, Vec X, Vec Lambda,
                                   PetscScalar obj_factor, Mat Hessref) {
@@ -952,6 +1059,7 @@ class TestOpflow : public TestBase {
 
     cleanup(fail, opflow);
   }
+
   /**
    * @brief Specific test for computing the constraint Hessian using HiOp
    *
@@ -1063,11 +1171,70 @@ class TestOpflow : public TestBase {
   }
 
 #if defined(EXAGO_ENABLE_RAJA)
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
+  /**
+   * @brief Specific test for computing the hessian using HiOp sparse
+   */
   LocalOrdinalType computeHessian(OPFLOW opflow, double *x_ref_dev,
                                   double *lambda_ref_dev,
                                   PetscScalar obj_factor, Mat Hessref,
-                                  umpire::ResourceManager &resmgr,
-                                  double *hess_dense, double *hess_dense_dev) {
+                                  umpire::ResourceManager &resmgr) {
+    PetscErrorCode ierr;
+    LocalOrdinalType fail = 0;
+
+    // Get allocator
+    umpire::Allocator h_allocator = resmgr.getAllocator("HOST");
+
+    // Test sparse Hessian
+    int *iRow, *jCol, *iRow_dev, *jCol_dev;
+    double *values, *values_dev;
+    int nnz = opflow->nnz_hesssp;
+
+    iRow = static_cast<int *>(h_allocator.allocate(nnz * sizeof(int)));
+    jCol = static_cast<int *>(h_allocator.allocate(nnz * sizeof(int)));
+    values = static_cast<double *>(h_allocator.allocate(nnz * sizeof(double)));
+#ifdef EXAGO_ENABLE_GPU
+    umpire::Allocator d_allocator = resmgr.getAllocator("DEVICE");
+    iRow_dev = static_cast<int *>(d_allocator.allocate(nnz * sizeof(int)));
+    jCol_dev = static_cast<int *>(d_allocator.allocate(nnz * sizeof(int)));
+    values_dev =
+        static_cast<double *>(d_allocator.allocate(nnz * sizeof(double)));
+#else
+    iRow_dev = iRow;
+    jCol_dev = jCol;
+    values_dev = values;
+#endif
+
+    opflow->obj_factor = obj_factor;
+    ierr = (*opflow->modelops.computesparsehessianhiop)(
+        opflow, x_ref_dev, lambda_ref_dev, iRow_dev, jCol_dev, values_dev);
+    CHKERRQ(ierr);
+
+    // Copy back from the device
+    resmgr.copy(iRow, iRow_dev);
+    resmgr.copy(jCol, jCol_dev);
+    resmgr.copy(values, values_dev);
+
+    fail += verifyAnswer(Hessref, nnz, iRow, jCol, values);
+
+    h_allocator.deallocate(iRow);
+    h_allocator.deallocate(jCol);
+    h_allocator.deallocate(values);
+#ifdef EXAGO_ENABLE_GPU
+    d_allocator.deallocate(iRow_dev);
+    d_allocator.deallocate(jCol_dev);
+    d_allocator.deallocate(values_dev);
+#endif
+    cleanup(fail, opflow);
+  }
+#else // EXAGO_ENABLE_HIOP_SPARSE
+  /**
+   * @brief Specific test for computing the hessian using HiOp MDS
+   */
+  LocalOrdinalType computeHessian(OPFLOW opflow, double *x_ref_dev,
+                                  double *lambda_ref_dev,
+                                  PetscScalar obj_factor, Mat Hessref,
+                                  umpire::ResourceManager &resmgr) {
     PetscErrorCode ierr;
     LocalOrdinalType fail = 0;
     PetscInt nrow, ncol;
@@ -1157,6 +1324,15 @@ class TestOpflow : public TestBase {
     fail += verifyAnswer(Hessref_sparse, nnz, iRow, jCol, values);
 
     // Test dense Hessian
+    double *hess_dense, *hess_dense_dev;
+    hess_dense = static_cast<double *>(
+        h_allocator.allocate(nxdense * nxdense * sizeof(double *)));
+#ifdef EXAGO_ENABLE_GPU
+    hess_dense_dev = static_cast<double *>(
+        d_allocator.allocate(nxdense * nxdense * sizeof(double *)));
+#else
+    hess_dense_dev = hess_dense;
+#endif
     ierr = (*opflow->modelops.computedensehessianhiop)(
         opflow, x_ref_dev, lambda_ref_dev, hess_dense_dev);
     CHKERRQ(ierr);
@@ -1184,14 +1360,17 @@ class TestOpflow : public TestBase {
     h_allocator.deallocate(iRow);
     h_allocator.deallocate(jCol);
     h_allocator.deallocate(values);
+    h_allocator.deallocate(hess_dense);
 #ifdef EXAGO_ENABLE_GPU
     d_allocator.deallocate(iRow_dev);
     d_allocator.deallocate(jCol_dev);
     d_allocator.deallocate(values_dev);
+    d_allocator.deallocate(hess_dense_dev);
 #endif
     cleanup(fail, opflow);
   }
-#endif
+#endif // EXAGO_ENABLE_HIOP_SPARSE
+#endif // EXAGO_ENABLE_RAJA
 
 private:
   virtual MPI_Comm getMPIComm(OPFLOW opflow) const {
diff --git a/tests/unit/test_acopf.cpp b/tests/unit/opflow/test_acopf.cpp
similarity index 94%
rename from tests/unit/test_acopf.cpp
rename to tests/unit/opflow/test_acopf.cpp
index 2849e442..b511fb7e 100644
--- a/tests/unit/test_acopf.cpp
+++ b/tests/unit/opflow/test_acopf.cpp
@@ -6,7 +6,7 @@
 #include <private/opflowimpl.h>
 #include <utils.h>
 
-#include "opflow/opflow_tests.h"
+#include "opflow_tests.h"
 #include "test_acopf_utils.h"
 
 #if defined(EXAGO_ENABLE_RAJA)
@@ -65,12 +65,25 @@ void spdensetonatural(const double *xin, double *xout, int *idxn2sd_map,
  *
  */
 int main(int argc, char **argv) {
-  const bool isTestOpflowModelPBPOL = false;
+  bool testOpflowModelPBPOL = false;
+  bool testOpflowModelPBPOLHIOP = false;
+  bool testOpflowModelPBPOLRAJAHIOP = false;
+  bool testOpflowModelPBPOLRAJAHIOPSPARSE = false;
+
+#if defined(EXAGO_ENABLE_IPOPT)
+  testOpflowModelPBPOL = true;
+#endif
+
+#if defined(EXAGO_ENABLE_HIOP)
+  testOpflowModelPBPOLHIOP = true;
+#endif
+
 #if defined(EXAGO_ENABLE_RAJA)
-  const bool isTestOpflowModelPBPOLRAJAHIOP = true;
-  const bool isTestOpflowModelPBPOLHIOP = false;
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
+  testOpflowModelPBPOLRAJAHIOPSPARSE = true;
 #else
-  const bool isTestOpflowModelPBPOLHIOP = true;
+  testOpflowModelPBPOLRAJAHIOP = true;
+#endif
 #endif
   PetscErrorCode ierr;
   PetscBool flg, gen_test_data, write_test_data;
@@ -245,13 +258,13 @@ int main(int argc, char **argv) {
   ierr = PetscLogStagePush(stages[1]);
   CHKERRQ(ierr);
 
-  if (isTestOpflowModelPBPOLHIOP) {
+  if (testOpflowModelPBPOLHIOP) {
     OPFLOW opflowtest;
     exago::tests::TestOpflow test;
 
     std::cout
         << "\nTesting custom power balance model in polar coordinates for HIOP"
-        << "(componentwise assembly) ... \n";
+        << " (componentwise assembly) ... \n";
 
     // Create optimal power flow model
     ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflowtest);
@@ -372,13 +385,17 @@ int main(int argc, char **argv) {
   }
 
 #if defined(EXAGO_ENABLE_RAJA)
-  if (isTestOpflowModelPBPOLRAJAHIOP) {
+  if (testOpflowModelPBPOLRAJAHIOP || testOpflowModelPBPOLRAJAHIOPSPARSE) {
     OPFLOW opflowtest;
     exago::tests::TestOpflow test;
 
     std::cout << "\nTesting custom power balance model in polar coordinates "
                  "for HIOP using RAJA"
-              << "(PBPOLHIOPRAJA) ... \n";
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
+              << " (PBPOLRAJAHIOPSPARSE) ... \n";
+#else
+              << " (PBPOLRAJAHIOP) ... \n";
+#endif
 
     // Create optimal power flow model
     ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflowtest);
@@ -389,11 +406,19 @@ int main(int argc, char **argv) {
     CHKERRQ(ierr);
 
     /* Set opflow model type to custom model for hiop using RAJA */
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
+    ierr = OPFLOWSetModel(opflowtest, OPFLOWMODEL_PBPOLRAJAHIOPSPARSE);
+#else
     ierr = OPFLOWSetModel(opflowtest, OPFLOWMODEL_PBPOLRAJAHIOP);
+#endif
     CHKERRQ(ierr);
 
     /* Set solver to HIOP */
+#if defined(EXAGO_ENABLE_HIOP_SPARSE)
+    ierr = OPFLOWSetSolver(opflowtest, OPFLOWSOLVER_HIOPSPARSEGPU);
+#else
     ierr = OPFLOWSetSolver(opflowtest, OPFLOWSOLVER_HIOP);
+#endif
     CHKERRQ(ierr);
 
     /* Set up */
@@ -504,29 +529,13 @@ int main(int argc, char **argv) {
     fail += test.computeConstraintBounds(opflowtest, gl_ref, gu_ref, resmgr);
     fail += test.computeConstraintJacobian(opflowtest, x_ref_dev, Jeq, Jineq,
                                            resmgr);
+    fail += test.computeHessian(opflowtest, x_ref_dev, lambda_ref_dev,
+                                obj_factor, Hess, resmgr);
 
-    int nxdense = 2 * opflowtest->ps->nbus;
-    double *hess_dense, *hess_dense_dev;
-
-    hess_dense = static_cast<double *>(
-        h_allocator.allocate(nxdense * nxdense * sizeof(double *)));
-#ifdef EXAGO_ENABLE_GPU
-    hess_dense_dev = static_cast<double *>(
-        d_allocator.allocate(nxdense * nxdense * sizeof(double *)));
-#else
-    hess_dense_dev = hess_dense;
-#endif
-
-    fail +=
-        test.computeHessian(opflowtest, x_ref_dev, lambda_ref_dev, obj_factor,
-                            Hess, resmgr, hess_dense, hess_dense_dev);
-
-    // Cleanup
-    h_allocator.deallocate(hess_dense);
+    // Cleanup x_ref and lambda_ref on device
 #ifdef EXAGO_ENABLE_GPU
     d_allocator.deallocate(x_ref_dev);
     d_allocator.deallocate(lambda_ref_dev);
-    d_allocator.deallocate(hess_dense_dev);
 #endif
 
     ierr = PetscFree(x_ref);
@@ -563,7 +572,7 @@ int main(int argc, char **argv) {
   }
 #endif
 
-  if (isTestOpflowModelPBPOL) {
+  if (testOpflowModelPBPOL) {
     OPFLOW opflowtest;
     exago::tests::TestOpflow test;
 
diff --git a/tests/unit/opflow/test_eqjac_gpu.cpp b/tests/unit/opflow/test_eqjac_gpu.cpp
new file mode 100644
index 00000000..dbdf4484
--- /dev/null
+++ b/tests/unit/opflow/test_eqjac_gpu.cpp
@@ -0,0 +1,380 @@
+#include <chrono>
+#include <cmath>
+#include <cstdio>
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include <exago_config.h>
+#include <opflow.h>
+#include <private/opflowimpl.h>
+
+#if defined(EXAGO_ENABLE_RAJA)
+#include <RAJA/RAJA.hpp>
+#include <umpire/Allocator.hpp>
+#include <umpire/ResourceManager.hpp>
+#endif
+
+using Clock = std::chrono::high_resolution_clock;
+using Ms = std::chrono::duration<double, std::milli>;
+
+struct TripletEntry {
+  int row, col;
+  double val;
+};
+
+static void computeReferenceJacobian(OPFLOW opflow, Vec X,
+                                     std::vector<TripletEntry> &entries) {
+  PetscErrorCode ierr;
+  ierr = (*opflow->modelops.computeequalityconstraintjacobian)(opflow, X,
+                                                               opflow->Jac_Ge);
+
+  PetscInt nrow, ncol;
+  ierr = MatGetSize(opflow->Jac_Ge, &nrow, &ncol);
+
+  for (PetscInt i = 0; i < nrow; i++) {
+    PetscInt nvals;
+    const PetscInt *cols;
+    const PetscScalar *vals;
+    ierr = MatGetRow(opflow->Jac_Ge, i, &nvals, &cols, &vals);
+    for (PetscInt j = 0; j < nvals; j++) {
+      entries.push_back({(int)i, (int)cols[j], vals[j]});
+    }
+    ierr = MatRestoreRow(opflow->Jac_Ge, i, &nvals, &cols, &vals);
+  }
+}
+
+static double benchmarkPETSc(OPFLOW opflow, Vec X, int niters) {
+  PetscErrorCode ierr;
+  PetscScalar *x_arr;
+
+  ierr = VecGetArray(X, &x_arr);
+  auto t0 = Clock::now();
+  for (int iter = 0; iter < niters; iter++) {
+    ierr = (*opflow->modelops.computeequalityconstraintjacobian)(
+        opflow, X, opflow->Jac_Ge);
+  }
+  auto t1 = Clock::now();
+  ierr = VecRestoreArray(X, &x_arr);
+
+  return Ms(t1 - t0).count() / niters;
+}
+
+int main(int argc, char **argv) {
+  PetscErrorCode ierr;
+  PetscBool flg;
+  char file_c_str[PETSC_MAX_PATH_LEN];
+  std::string file;
+  char appname[] = "opflow";
+  MPI_Comm comm = MPI_COMM_WORLD;
+  int niters = 1000;
+
+  char help[] =
+      "Compare and benchmark PETSc vs GPU equality constraint Jacobian\n";
+
+  ierr = ExaGOInitialize(comm, &argc, &argv, appname, help);
+  if (ierr) {
+    fprintf(stderr, "Could not initialize ExaGO.\n");
+    return ierr;
+  }
+
+  ierr = PetscOptionsGetString(NULL, NULL, "-netfile", file_c_str,
+                               PETSC_MAX_PATH_LEN, &flg);
+  if (!flg)
+    file = "../datafiles/case9/case9mod.m";
+  else
+    file.assign(file_c_str);
+
+  /* ----------------------------------------------------------------
+   * Set up OPFLOW with PBPOL model (PETSc path) to get
+   * the reference Jacobian and the initial guess X.
+   * ---------------------------------------------------------------- */
+  OPFLOW opflow_ref;
+  ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflow_ref);
+  CHKERRQ(ierr);
+  ierr = OPFLOWReadMatPowerData(opflow_ref, file.c_str());
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetModel(opflow_ref, OPFLOWMODEL_PBPOL);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetSolver(opflow_ref, OPFLOWSOLVER_IPOPT);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetInitializationType(opflow_ref, OPFLOWINIT_FROMFILE);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetUp(opflow_ref);
+  CHKERRQ(ierr);
+
+  Vec X_ref;
+  ierr = OPFLOWGetSolution(opflow_ref, &X_ref);
+  CHKERRQ(ierr);
+
+  std::vector<TripletEntry> ref_entries;
+  computeReferenceJacobian(opflow_ref, X_ref, ref_entries);
+
+  /* ----------------------------------------------------------------
+   * Set up OPFLOW with HIOPSPARSE to exercise the GPU path.
+   * ---------------------------------------------------------------- */
+  OPFLOW opflow_gpu;
+  ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflow_gpu);
+  CHKERRQ(ierr);
+  ierr = OPFLOWReadMatPowerData(opflow_gpu, file.c_str());
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetModel(opflow_gpu, OPFLOWMODEL_PBPOLRAJAHIOPSPARSE);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetSolver(opflow_gpu, OPFLOWSOLVER_HIOPSPARSEGPU);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetInitializationType(opflow_gpu, OPFLOWINIT_FROMFILE);
+  CHKERRQ(ierr);
+#ifdef EXAGO_ENABLE_GPU
+  ierr = OPFLOWSetHIOPComputeMode(opflow_gpu, "GPU");
+  CHKERRQ(ierr);
+#endif
+  ierr = OPFLOWSetUp(opflow_gpu);
+  CHKERRQ(ierr);
+
+  /* Get the initial guess vector and map to sparse-dense ordering */
+  Vec X_gpu;
+  ierr = OPFLOWGetSolution(opflow_gpu, &X_gpu);
+  CHKERRQ(ierr);
+
+  int nx = opflow_gpu->nx;
+  int nnz_eq = opflow_gpu->nnz_eqjacsp;
+
+  printf("\n");
+  printf("============================================================\n");
+  printf("  Equality constraint Jacobian: PETSc vs GPU Comparison\n");
+  printf("  Network: %s\n", file.c_str());
+  printf("  nx = %d, nconeq = %d, nnz_eqjac(GPU) = %d, nnz_eqjac(PETSc) = %d\n",
+         nx, opflow_gpu->nconeq, nnz_eq, (int)ref_entries.size());
+  printf("============================================================\n\n");
+
+#if defined(EXAGO_ENABLE_RAJA)
+  auto &resmgr = umpire::ResourceManager::getInstance();
+  umpire::Allocator h_allocator = resmgr.getAllocator("HOST");
+
+  double *x_host;
+  ierr = VecGetArray(X_gpu, &x_host);
+  CHKERRQ(ierr);
+
+  int *iRow, *jCol;
+  double *values;
+  iRow = static_cast<int *>(h_allocator.allocate(nnz_eq * sizeof(int)));
+  jCol = static_cast<int *>(h_allocator.allocate(nnz_eq * sizeof(int)));
+  values = static_cast<double *>(h_allocator.allocate(nnz_eq * sizeof(double)));
+
+#ifdef EXAGO_ENABLE_GPU
+  umpire::Allocator d_allocator = resmgr.getAllocator("DEVICE");
+
+  double *x_dev =
+      static_cast<double *>(d_allocator.allocate(nx * sizeof(double)));
+  int *iRow_dev =
+      static_cast<int *>(d_allocator.allocate(nnz_eq * sizeof(int)));
+  int *jCol_dev =
+      static_cast<int *>(d_allocator.allocate(nnz_eq * sizeof(int)));
+  double *values_dev =
+      static_cast<double *>(d_allocator.allocate(nnz_eq * sizeof(double)));
+
+  umpire::util::AllocationRecord record_x{x_host, sizeof(double) * nx,
+                                          h_allocator.getAllocationStrategy()};
+  resmgr.registerAllocation(x_host, record_x);
+  resmgr.copy(x_dev, x_host);
+#else
+  double *x_dev = x_host;
+  int *iRow_dev = iRow;
+  int *jCol_dev = jCol;
+  double *values_dev = values;
+#endif
+
+  /* Call the sparse eq jac function: first for sparsity, then for values */
+  ierr = (*opflow_gpu->modelops.computesparseequalityconstraintjacobianhiop)(
+      opflow_gpu, x_dev, iRow_dev, jCol_dev, NULL);
+  CHKERRQ(ierr);
+
+  ierr = (*opflow_gpu->modelops.computesparseequalityconstraintjacobianhiop)(
+      opflow_gpu, x_dev, NULL, NULL, values_dev);
+  CHKERRQ(ierr);
+
+#ifdef EXAGO_ENABLE_GPU
+  resmgr.copy(iRow, iRow_dev);
+  resmgr.copy(jCol, jCol_dev);
+  resmgr.copy(values, values_dev);
+#endif
+
+  /* Build a map from (row, col) -> value for the GPU result */
+  struct PairHash {
+    size_t operator()(const std::pair<int, int> &p) const {
+      return std::hash<long long>()(((long long)p.first << 32) | p.second);
+    }
+  };
+  std::unordered_map<std::pair<int, int>, double, PairHash> gpu_map;
+  for (int i = 0; i < nnz_eq; i++) {
+    auto key = std::make_pair(iRow[i], jCol[i]);
+    gpu_map[key] += values[i];
+  }
+
+  /* ----------------------------------------------------------------
+   * Compare and print results
+   * ---------------------------------------------------------------- */
+  int n_match = 0, n_mismatch = 0, n_missing_gpu = 0, n_extra_gpu = 0;
+  double max_abs_err = 0.0, max_rel_err = 0.0;
+  int worst_row = -1, worst_col = -1;
+  double worst_ref = 0, worst_gpu = 0;
+  const double tol = 1e-8;
+
+  printf("  %-8s %-8s %16s %16s %12s  %s\n", "Row", "Col", "PETSc (ref)", "GPU",
+         "AbsErr", "Status");
+  printf("  %-8s %-8s %16s %16s %12s  %s\n", "---", "---", "-----------", "---",
+         "------", "------");
+
+  for (const auto &e : ref_entries) {
+    auto key = std::make_pair(e.row, e.col);
+    auto it = gpu_map.find(key);
+    double gpu_val = 0.0;
+    bool found = (it != gpu_map.end());
+
+    if (found) {
+      gpu_val = it->second;
+      gpu_map.erase(it);
+    }
+
+    double abs_err = fabs(gpu_val - e.val);
+    double rel_err = (fabs(e.val) > tol) ? abs_err / fabs(e.val) : abs_err;
+    const char *status;
+
+    if (!found) {
+      status = "MISSING";
+      n_missing_gpu++;
+    } else if (abs_err < tol) {
+      status = "OK";
+      n_match++;
+    } else {
+      status = "MISMATCH";
+      n_mismatch++;
+    }
+
+    if (abs_err > max_abs_err) {
+      max_abs_err = abs_err;
+      max_rel_err = rel_err;
+      worst_row = e.row;
+      worst_col = e.col;
+      worst_ref = e.val;
+      worst_gpu = gpu_val;
+    }
+
+    if (abs_err >= tol || !found) {
+      printf("  %-8d %-8d %16.8e %16.8e %12.2e  %s\n", e.row, e.col, e.val,
+             gpu_val, abs_err, status);
+    }
+  }
+
+  n_extra_gpu = (int)gpu_map.size();
+  if (n_extra_gpu > 0) {
+    printf("\n  Extra entries in GPU (not in PETSc reference):\n");
+    for (const auto &kv : gpu_map) {
+      printf("  %-8d %-8d %16s %16.8e %12s  EXTRA\n", kv.first.first,
+             kv.first.second, "n/a", kv.second, "n/a");
+    }
+  }
+
+  printf("\n");
+  printf("============================================================\n");
+  printf("  Validation summary\n");
+  printf("============================================================\n");
+  printf("  PETSc nnz:         %d\n", (int)ref_entries.size());
+  printf("  GPU nnz:           %d\n", nnz_eq);
+  printf("  Matching:          %d\n", n_match);
+  printf("  Mismatched:        %d\n", n_mismatch);
+  printf("  Missing in GPU:    %d\n", n_missing_gpu);
+  printf("  Extra in GPU:      %d\n", n_extra_gpu);
+  printf("  Max absolute err:  %.2e  at (%d, %d)  ref=%.8e  gpu=%.8e\n",
+         max_abs_err, worst_row, worst_col, worst_ref, worst_gpu);
+  printf("  Max relative err:  %.2e\n", max_rel_err);
+  printf("  Tolerance:         %.2e\n", tol);
+  printf("  RESULT:            %s\n",
+         (n_mismatch == 0 && n_missing_gpu == 0 && n_extra_gpu == 0) ? "PASS"
+                                                                     : "FAIL");
+  printf("============================================================\n\n");
+
+  int result =
+      (n_mismatch == 0 && n_missing_gpu == 0 && n_extra_gpu == 0) ? 0 : 1;
+
+  /* ----------------------------------------------------------------
+   * Benchmark performance
+   * ---------------------------------------------------------------- */
+  /* Warmup and benchmark PETSc*/
+  benchmarkPETSc(opflow_ref, X_ref, 5);
+  double petsc_ms = benchmarkPETSc(opflow_ref, X_ref, niters);
+
+  /* Warmup the GPU values kernel */
+  for (int i = 0; i < 5; i++) {
+    ierr = (*opflow_gpu->modelops.computesparseequalityconstraintjacobianhiop)(
+        opflow_gpu, x_dev, NULL, NULL, values_dev);
+    CHKERRQ(ierr);
+  }
+
+  // HIP kernels do not synchronize by default
+#ifdef EXAGO_ENABLE_HIP
+  int status = hipDeviceSynchronize();
+#endif
+
+  /* Timed runs */
+  auto t0 = Clock::now();
+  for (int iter = 0; iter < niters; iter++) {
+    ierr = (*opflow_gpu->modelops.computesparseequalityconstraintjacobianhiop)(
+        opflow_gpu, x_dev, NULL, NULL, values_dev);
+    CHKERRQ(ierr);
+  }
+
+  // HIP kernels do not synchronize by default
+#ifdef EXAGO_ENABLE_HIP
+  status = hipDeviceSynchronize();
+#endif
+
+  auto t1 = Clock::now();
+  double gpu_ms = Ms(t1 - t0).count() / niters;
+
+  h_allocator.deallocate(iRow);
+  h_allocator.deallocate(jCol);
+  h_allocator.deallocate(values);
+#ifdef EXAGO_ENABLE_GPU
+  d_allocator.deallocate(x_dev);
+  d_allocator.deallocate(iRow_dev);
+  d_allocator.deallocate(jCol_dev);
+  d_allocator.deallocate(values_dev);
+#endif
+
+  ierr = VecRestoreArray(X_gpu, &x_host);
+  CHKERRQ(ierr);
+
+  /* ----------------------------------------------------------------
+   * Print benchmark results
+   * ---------------------------------------------------------------- */
+  printf("\n");
+  printf("================================================================\n");
+  printf("  Equality constraint Jacobian — performance comparison\n");
+  printf("================================================================\n");
+  printf("  Iterations:       %d\n", niters);
+  printf("----------------------------------------------------------------\n");
+  printf("  %-20s %12s %12s\n", "", "PETSc (CPU)", "RAJA (GPU)");
+  printf("  %-20s %12s %12s\n", "", "-----------", "----------");
+  printf("  %-20s %10.4f ms %10.4f ms\n", "Avg time/call", petsc_ms, gpu_ms);
+  if (gpu_ms > 0.0) {
+    double speedup = petsc_ms / gpu_ms;
+    printf("  %-20s %10s    %9.2fx\n", "Speedup", "", speedup);
+  }
+  printf(
+      "================================================================\n\n");
+#endif // EXAGO_ENABLE_RAJA
+
+  ierr = OPFLOWDestroy(&opflow_ref);
+  CHKERRQ(ierr);
+  ierr = OPFLOWDestroy(&opflow_gpu);
+  CHKERRQ(ierr);
+
+  ExaGOFinalize();
+
+#if defined(EXAGO_ENABLE_RAJA)
+  return result;
+#else
+  return 0;
+#endif
+}
diff --git a/tests/unit/opflow/test_hess_gpu.cpp b/tests/unit/opflow/test_hess_gpu.cpp
new file mode 100644
index 00000000..5d28870f
--- /dev/null
+++ b/tests/unit/opflow/test_hess_gpu.cpp
@@ -0,0 +1,412 @@
+#include <chrono>
+#include <cmath>
+#include <cstdio>
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include <exago_config.h>
+#include <opflow.h>
+#include <private/opflowimpl.h>
+
+#if defined(EXAGO_ENABLE_RAJA)
+#include <RAJA/RAJA.hpp>
+#include <umpire/Allocator.hpp>
+#include <umpire/ResourceManager.hpp>
+#endif
+
+using Clock = std::chrono::high_resolution_clock;
+using Ms = std::chrono::duration<double, std::milli>;
+
+struct TripletEntry {
+  int row, col;
+  double val;
+};
+
+static void computeReferenceHessian(OPFLOW opflow,
+                                    std::vector<TripletEntry> &entries) {
+  PetscErrorCode ierr;
+  ierr = (*opflow->modelops.computehessian)(opflow, opflow->X, opflow->Lambdae,
+                                            opflow->Lambdai, opflow->Hes);
+
+  PetscInt nrow, ncol;
+  ierr = MatGetSize(opflow->Hes, &nrow, &ncol);
+
+  for (PetscInt i = 0; i < nrow; i++) {
+    PetscInt nvals;
+    const PetscInt *cols;
+    const PetscScalar *vals;
+    ierr = MatGetRow(opflow->Hes, i, &nvals, &cols, &vals);
+    for (PetscInt j = 0; j < nvals; j++) {
+      if (cols[j] >= i) { // upper triangle
+        entries.push_back({(int)i, (int)cols[j], vals[j]});
+      }
+    }
+    ierr = MatRestoreRow(opflow->Hes, i, &nvals, &cols, &vals);
+  }
+}
+
+static double benchmarkPETSc(OPFLOW opflow, int niters) {
+  PetscErrorCode ierr;
+
+  auto t0 = Clock::now();
+  for (int iter = 0; iter < niters; iter++) {
+    ierr = (*opflow->modelops.computehessian)(
+        opflow, opflow->X, opflow->Lambdae, opflow->Lambdai, opflow->Hes);
+  }
+  auto t1 = Clock::now();
+
+  return Ms(t1 - t0).count() / niters;
+}
+
+int main(int argc, char **argv) {
+  PetscErrorCode ierr;
+  PetscBool flg;
+  char file_c_str[PETSC_MAX_PATH_LEN];
+  std::string file;
+  char appname[] = "opflow";
+  MPI_Comm comm = MPI_COMM_WORLD;
+  int niters = 1000;
+
+  char help[] = "Compare and benchmark PETSc vs GPU Hessian\n";
+
+  ierr = ExaGOInitialize(comm, &argc, &argv, appname, help);
+  if (ierr) {
+    fprintf(stderr, "Could not initialize ExaGO.\n");
+    return ierr;
+  }
+
+  ierr = PetscOptionsGetString(NULL, NULL, "-netfile", file_c_str,
+                               PETSC_MAX_PATH_LEN, &flg);
+  if (!flg)
+    file = "../datafiles/case9/case9mod.m";
+  else
+    file.assign(file_c_str);
+
+  /* ----------------------------------------------------------------
+   * Set up OPFLOW with PBPOL model (PETSc path) to get
+   * the reference Hessian, the initial guess X
+   * and the Lagrange multipliers.
+   * ---------------------------------------------------------------- */
+  OPFLOW opflow_ref;
+  ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflow_ref);
+  CHKERRQ(ierr);
+  ierr = OPFLOWReadMatPowerData(opflow_ref, file.c_str());
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetModel(opflow_ref, OPFLOWMODEL_PBPOL);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetSolver(opflow_ref, OPFLOWSOLVER_IPOPT);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetInitializationType(opflow_ref, OPFLOWINIT_FROMFILE);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetUp(opflow_ref);
+  CHKERRQ(ierr);
+
+  Vec X_ref;
+  ierr = OPFLOWGetSolution(opflow_ref, &X_ref);
+  CHKERRQ(ierr);
+
+  Vec Lambda_ref;
+  ierr = OPFLOWGetConstraintMultipliers(opflow_ref, &Lambda_ref);
+  CHKERRQ(ierr);
+
+  std::vector<TripletEntry> ref_entries;
+  computeReferenceHessian(opflow_ref, ref_entries);
+
+  /* ----------------------------------------------------------------
+   * Set up OPFLOW with HIOPSPARSE to exercise the GPU path.
+   * ---------------------------------------------------------------- */
+  OPFLOW opflow_gpu;
+  ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflow_gpu);
+  CHKERRQ(ierr);
+  ierr = OPFLOWReadMatPowerData(opflow_gpu, file.c_str());
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetModel(opflow_gpu, OPFLOWMODEL_PBPOLRAJAHIOPSPARSE);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetSolver(opflow_gpu, OPFLOWSOLVER_HIOPSPARSEGPU);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetInitializationType(opflow_gpu, OPFLOWINIT_FROMFILE);
+  CHKERRQ(ierr);
+#ifdef EXAGO_ENABLE_GPU
+  ierr = OPFLOWSetHIOPComputeMode(opflow_gpu, "GPU");
+  CHKERRQ(ierr);
+#endif
+  ierr = OPFLOWSetUp(opflow_gpu);
+  CHKERRQ(ierr);
+
+  /* Get the initial guess vector and map to sparse-dense ordering */
+  Vec X_gpu;
+  ierr = OPFLOWGetSolution(opflow_gpu, &X_gpu);
+  CHKERRQ(ierr);
+
+  Vec Lambda_gpu;
+  ierr = OPFLOWGetConstraintMultipliers(opflow_gpu, &Lambda_gpu);
+  CHKERRQ(ierr);
+
+  int nx = opflow_gpu->nx;
+  int nnz_hess = opflow_gpu->nnz_hesssp;
+  int nconeq = opflow_gpu->nconeq;
+  int nconineq = opflow_gpu->nconineq;
+
+  printf("\n");
+  printf("============================================================\n");
+  printf("  Hessian: PETSc vs GPU Comparison\n");
+  printf("  Network: %s\n", file.c_str());
+  printf("  nx = %d, nnz_hess(GPU) = %d, nnz_hess(PETSc) = %d\n", nx, nnz_hess,
+         (int)ref_entries.size());
+  printf("============================================================\n\n");
+
+#if defined(EXAGO_ENABLE_RAJA)
+  auto &resmgr = umpire::ResourceManager::getInstance();
+  umpire::Allocator h_allocator = resmgr.getAllocator("HOST");
+
+  double *x_host;
+  ierr = VecGetArray(X_gpu, &x_host);
+  CHKERRQ(ierr);
+
+  double *lambda_host;
+  ierr = VecGetArray(Lambda_gpu, &lambda_host);
+  CHKERRQ(ierr);
+
+  int *iRow, *jCol;
+  double *values;
+  iRow = static_cast<int *>(h_allocator.allocate(nnz_hess * sizeof(int)));
+  jCol = static_cast<int *>(h_allocator.allocate(nnz_hess * sizeof(int)));
+  values =
+      static_cast<double *>(h_allocator.allocate(nnz_hess * sizeof(double)));
+
+#ifdef EXAGO_ENABLE_GPU
+  umpire::Allocator d_allocator = resmgr.getAllocator("DEVICE");
+
+  double *x_dev =
+      static_cast<double *>(d_allocator.allocate(nx * sizeof(double)));
+  double *lambda_dev = static_cast<double *>(
+      d_allocator.allocate((nconeq + nconineq) * sizeof(double)));
+  int *iRow_dev =
+      static_cast<int *>(d_allocator.allocate(nnz_hess * sizeof(int)));
+  int *jCol_dev =
+      static_cast<int *>(d_allocator.allocate(nnz_hess * sizeof(int)));
+  double *values_dev =
+      static_cast<double *>(d_allocator.allocate(nnz_hess * sizeof(double)));
+
+  umpire::util::AllocationRecord record_x{x_host, sizeof(double) * nx,
+                                          h_allocator.getAllocationStrategy()};
+  resmgr.registerAllocation(x_host, record_x);
+  resmgr.copy(x_dev, x_host);
+
+  umpire::util::AllocationRecord record_lambda{
+      lambda_host, sizeof(double) * (nconeq + nconineq),
+      h_allocator.getAllocationStrategy()};
+  resmgr.registerAllocation(lambda_host, record_lambda);
+  resmgr.copy(lambda_dev, lambda_host);
+#else
+  double *x_dev = x_host;
+  double *lambda_dev = lambda_host;
+  int *iRow_dev = iRow;
+  int *jCol_dev = jCol;
+  double *values_dev = values;
+#endif
+
+  /* Call the sparse hessian function: first for sparsity, then for values */
+  ierr = (*opflow_gpu->modelops.computesparsehessianhiop)(
+      opflow_gpu, x_dev, lambda_dev, iRow_dev, jCol_dev, NULL);
+  CHKERRQ(ierr);
+
+  ierr = (*opflow_gpu->modelops.computesparsehessianhiop)(
+      opflow_gpu, x_dev, lambda_dev, NULL, NULL, values_dev);
+  CHKERRQ(ierr);
+
+#ifdef EXAGO_ENABLE_GPU
+  resmgr.copy(iRow, iRow_dev);
+  resmgr.copy(jCol, jCol_dev);
+  resmgr.copy(values, values_dev);
+#endif
+
+  /* Build a map from (row, col) -> value for the GPU result */
+  struct PairHash {
+    size_t operator()(const std::pair<int, int> &p) const {
+      return std::hash<long long>()(((long long)p.first << 32) | p.second);
+    }
+  };
+  std::unordered_map<std::pair<int, int>, double, PairHash> gpu_map;
+  for (int i = 0; i < nnz_hess; i++) {
+    auto key = std::make_pair(iRow[i], jCol[i]);
+    gpu_map[key] += values[i];
+  }
+
+  /* ----------------------------------------------------------------
+   * Compare and print results
+   * ---------------------------------------------------------------- */
+  int n_match = 0, n_mismatch = 0, n_missing_gpu = 0, n_extra_gpu = 0;
+  int n_missing_gpu_zero = 0, n_extra_gpu_zero = 0;
+  double max_abs_err = 0.0, max_rel_err = 0.0;
+  int worst_row = -1, worst_col = -1;
+  double worst_ref = 0, worst_gpu = 0;
+  const double tol = 1e-8;
+
+  printf("  %-8s %-8s %16s %16s %12s  %s\n", "Row", "Col", "PETSc (ref)", "GPU",
+         "AbsErr", "Status");
+  printf("  %-8s %-8s %16s %16s %12s  %s\n", "---", "---", "-----------", "---",
+         "------", "------");
+
+  for (const auto &e : ref_entries) {
+    auto key = std::make_pair(e.row, e.col);
+    auto it = gpu_map.find(key);
+    double gpu_val = 0.0;
+    bool found = (it != gpu_map.end());
+
+    if (found) {
+      gpu_val = it->second;
+      gpu_map.erase(it);
+    }
+
+    double abs_err = fabs(gpu_val - e.val);
+    double rel_err = (fabs(e.val) > tol) ? abs_err / fabs(e.val) : abs_err;
+    const char *status;
+
+    if (!found) {
+      n_missing_gpu++;
+      if (fabs(e.val) < tol) {
+        n_missing_gpu_zero++;
+      } else {
+        status = "MISSING";
+      }
+    } else if (abs_err < tol) {
+      status = "OK";
+      n_match++;
+    } else {
+      status = "MISMATCH";
+      n_mismatch++;
+    }
+
+    if (abs_err > max_abs_err) {
+      max_abs_err = abs_err;
+      max_rel_err = rel_err;
+      worst_row = e.row;
+      worst_col = e.col;
+      worst_ref = e.val;
+      worst_gpu = gpu_val;
+    }
+
+    if (abs_err >= tol || (!found && fabs(e.val) > tol)) {
+      printf("  %-8d %-8d %16.8e %16.8e %12.2e  %s\n", e.row, e.col, e.val,
+             gpu_val, abs_err, status);
+    }
+  }
+
+  n_extra_gpu = (int)gpu_map.size();
+  if (n_extra_gpu > 0) {
+    printf("\n  Extra entries in GPU (not in PETSc reference):\n");
+    for (const auto &kv : gpu_map) {
+      if (fabs(kv.second) < tol) {
+        n_extra_gpu_zero++;
+      } else {
+        printf("  %-8d %-8d %16s %16.8e %12s  EXTRA\n", kv.first.first,
+               kv.first.second, "n/a", kv.second, "n/a");
+      }
+    }
+  }
+  int result = (n_mismatch == 0) && (n_missing_gpu - n_missing_gpu_zero) == 0 &&
+                       (n_extra_gpu - n_extra_gpu_zero) == 0
+                   ? 0
+                   : 1;
+
+  printf("\n");
+  printf("============================================================\n");
+  printf("  Validation summary\n");
+  printf("============================================================\n");
+  printf("  PETSc nnz:              %d\n", (int)ref_entries.size());
+  printf("  GPU nnz:                %d\n", nnz_hess);
+  printf("  Matching:               %d\n", n_match);
+  printf("  Mismatched:             %d\n", n_mismatch);
+  printf("  Missing in GPU and !=0: %d\n", n_missing_gpu - n_missing_gpu_zero);
+  printf("  Extra in GPU and !=0:   %d\n", n_extra_gpu - n_extra_gpu_zero);
+  printf("  Max absolute err:       %.2e  at (%d, %d)  ref=%.8e  gpu=%.8e\n",
+         max_abs_err, worst_row, worst_col, worst_ref, worst_gpu);
+  printf("  Max relative err:       %.2e\n", max_rel_err);
+  printf("  Tolerance:              %.2e\n", tol);
+  printf("  RESULT:                 %s\n", result == 0 ? "PASS" : "FAIL");
+  printf("============================================================\n\n");
+
+  /* ----------------------------------------------------------------
+   * Benchmark performance
+   * ---------------------------------------------------------------- */
+  /* Warmup and benchmark PETSc*/
+  benchmarkPETSc(opflow_ref, 5);
+  double petsc_ms = benchmarkPETSc(opflow_ref, niters);
+
+  /* Warmup the GPU values kernel */
+  for (int i = 0; i < 5; i++) {
+    ierr = (*opflow_gpu->modelops.computesparsehessianhiop)(
+        opflow_gpu, x_dev, lambda_dev, NULL, NULL, values_dev);
+    CHKERRQ(ierr);
+  }
+
+  // HIP kernels do not synchronize by default
+#ifdef EXAGO_ENABLE_HIP
+  int status = hipDeviceSynchronize();
+#endif
+
+  /* Timed runs */
+  auto t0 = Clock::now();
+  for (int iter = 0; iter < niters; iter++) {
+    ierr = (*opflow_gpu->modelops.computesparsehessianhiop)(
+        opflow_gpu, x_dev, lambda_dev, NULL, NULL, values_dev);
+    CHKERRQ(ierr);
+  }
+
+  // HIP kernels do not synchronize by default
+#ifdef EXAGO_ENABLE_HIP
+  status = hipDeviceSynchronize();
+#endif
+
+  auto t1 = Clock::now();
+  double gpu_ms = Ms(t1 - t0).count() / niters;
+
+  h_allocator.deallocate(iRow);
+  h_allocator.deallocate(jCol);
+  h_allocator.deallocate(values);
+#ifdef EXAGO_ENABLE_GPU
+  d_allocator.deallocate(x_dev);
+  d_allocator.deallocate(lambda_dev);
+  d_allocator.deallocate(iRow_dev);
+  d_allocator.deallocate(jCol_dev);
+  d_allocator.deallocate(values_dev);
+#endif
+
+  ierr = VecRestoreArray(X_gpu, &x_host);
+  CHKERRQ(ierr);
+
+  /* ----------------------------------------------------------------
+   * Print benchmark results
+   * ---------------------------------------------------------------- */
+  printf("\n");
+  printf("================================================================\n");
+  printf("  Hessian — performance comparison\n");
+  printf("================================================================\n");
+  printf("  Iterations:       %d\n", niters);
+  printf("----------------------------------------------------------------\n");
+  printf("  %-20s %12s %12s\n", "", "PETSc (CPU)", "RAJA (GPU)");
+  printf("  %-20s %12s %12s\n", "", "-----------", "----------");
+  printf("  %-20s %10.4f ms %10.4f ms\n", "Avg time/call", petsc_ms, gpu_ms);
+  if (gpu_ms > 0.0) {
+    double speedup = petsc_ms / gpu_ms;
+    printf("  %-20s %10s    %9.2fx\n", "Speedup", "", speedup);
+  }
+  printf(
+      "================================================================\n\n");
+#endif // EXAGO_ENABLE_RAJA
+
+  ierr = OPFLOWDestroy(&opflow_ref);
+  CHKERRQ(ierr);
+  ierr = OPFLOWDestroy(&opflow_gpu);
+  CHKERRQ(ierr);
+
+  ExaGOFinalize();
+
+#if defined(EXAGO_ENABLE_RAJA)
+  return result;
+#else
+  return 0;
+#endif
+}
diff --git a/tests/unit/opflow/test_ineqjac_gpu.cpp b/tests/unit/opflow/test_ineqjac_gpu.cpp
new file mode 100644
index 00000000..0d54a98d
--- /dev/null
+++ b/tests/unit/opflow/test_ineqjac_gpu.cpp
@@ -0,0 +1,407 @@
+#include <chrono>
+#include <cmath>
+#include <cstring>
+#include <iostream>
+#include <string>
+
+#include <exago_config.h>
+#include <private/opflowimpl.h>
+#include <utils.h>
+
+#if defined(EXAGO_ENABLE_RAJA)
+#include <RAJA/RAJA.hpp>
+#include <private/raja_exec_config.h>
+#include <umpire/Allocator.hpp>
+#include <umpire/ResourceManager.hpp>
+#endif
+
+#include "model/power_bal_hiop/paramsrajahiop.h"
+#include "model/power_bal_hiop/pbpolrajahiopsparse_gpu.hpp"
+
+static const double TOL = 1e-8;
+
+static int compare_arrays(const double *ref, const double *gpu, int n,
+                          const char *label) {
+  int fail = 0;
+  for (int i = 0; i < n; i++) {
+    if (std::abs(ref[i] - gpu[i]) / (1.0 + std::abs(ref[i])) > TOL) {
+      std::cout << "  MISMATCH " << label << "[" << i << "]: PETSc=" << ref[i]
+                << "  GPU=" << gpu[i] << "  diff=" << std::abs(ref[i] - gpu[i])
+                << std::endl;
+      fail++;
+    }
+  }
+  return fail;
+}
+
+/**
+ * @brief Validate GPU inequality constraint Jacobian values against PETSc.
+ *
+ * First solves with IPOPT/PBPOL to obtain a realistic solution, then
+ * sets up the PBPOLRAJAHIOPSPARSE model and evaluates the inequality
+ * Jacobian at the converged solution using both the PETSc reference
+ * path and the GPU RAJA kernel. Compares element-by-element.
+ */
+int main(int argc, char **argv) {
+  PetscErrorCode ierr;
+  PetscBool flg;
+  char file_c_str[PETSC_MAX_PATH_LEN];
+  std::string file;
+  char appname[] = "opflow";
+  MPI_Comm comm = MPI_COMM_WORLD;
+  char help[] = "GPU inequality constraints Jacobian validation\n";
+  int fail = 0;
+
+  ierr = ExaGOInitialize(comm, &argc, &argv, appname, help);
+  if (ierr) {
+    fprintf(stderr, "Could not initialize ExaGO.\n");
+    return ierr;
+  }
+
+  ierr = PetscOptionsGetString(NULL, NULL, "-netfile", file_c_str,
+                               PETSC_MAX_PATH_LEN, &flg);
+  CHKERRQ(ierr);
+  if (!flg)
+    file = "../datafiles/case9/case9mod.m";
+  else
+    file.assign(file_c_str);
+
+  std::cout << "Network file: " << file << std::endl;
+
+  /* ------------------------------------------------------------------
+   * Solve with IPOPT/PBPOL to get a realistic solution
+   * ------------------------------------------------------------------ */
+  OPFLOW opflow_ref;
+  Vec Xsol;
+
+  ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflow_ref);
+  CHKERRQ(ierr);
+  ierr = OPFLOWReadMatPowerData(opflow_ref, file.c_str());
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetModel(opflow_ref, OPFLOWMODEL_PBPOL);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetSolver(opflow_ref, OPFLOWSOLVER_IPOPT);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSolve(opflow_ref);
+  CHKERRQ(ierr);
+  ierr = OPFLOWGetSolution(opflow_ref, &Xsol);
+  CHKERRQ(ierr);
+
+  std::cout << "IPOPT solve complete." << std::endl;
+
+  /* Get the solution array (natural ordering) */
+  PetscInt nx_ref;
+  ierr = VecGetSize(Xsol, &nx_ref);
+  CHKERRQ(ierr);
+  double *xsol_nat;
+  ierr = VecGetArray(Xsol, &xsol_nat);
+  CHKERRQ(ierr);
+
+  std::cout << "\n=== GPU inequality constraints Jacobian validation ==="
+            << std::endl;
+
+  /* ------------------------------------------------------------------
+   * Create the PBPOLRAJAHIOPSPARSE model and set up
+   * ------------------------------------------------------------------ */
+  OPFLOW opflow;
+  ierr = OPFLOWCreate(PETSC_COMM_WORLD, &opflow);
+  CHKERRQ(ierr);
+  ierr = OPFLOWReadMatPowerData(opflow, file.c_str());
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetModel(opflow, OPFLOWMODEL_PBPOLRAJAHIOPSPARSE);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetSolver(opflow, OPFLOWSOLVER_HIOPSPARSEGPU);
+  CHKERRQ(ierr);
+  ierr = OPFLOWSetUp(opflow);
+  CHKERRQ(ierr);
+
+  int nx, nconeq, nconineq;
+  ierr = OPFLOWGetSizes(opflow, &nx, &nconeq, &nconineq);
+  CHKERRQ(ierr);
+
+  std::cout << "  nx = " << nx << " , nconeq = " << nconeq
+            << " , nconineq = " << nconineq
+            << " , nnz_ineqjacsp=" << opflow->nnz_ineqjacsp << std::endl;
+
+  if (!nconineq) {
+    std::cout << "  No inequality constraints -- nothing to test. PASS."
+              << std::endl;
+    ierr = VecRestoreArray(Xsol, &xsol_nat);
+    CHKERRQ(ierr);
+    ierr = OPFLOWDestroy(&opflow_ref);
+    CHKERRQ(ierr);
+    ierr = OPFLOWDestroy(&opflow);
+    CHKERRQ(ierr);
+    ExaGOFinalize();
+    return 0;
+  }
+
+  /* ------------------------------------------------------------------
+   * Copy IPOPT solution into opflow->X (natural ordering)
+   * ------------------------------------------------------------------ */
+  double *x_nat;
+  ierr = VecGetArray(opflow->X, &x_nat);
+  CHKERRQ(ierr);
+  for (int i = 0; i < nx; i++)
+    x_nat[i] = xsol_nat[i];
+  ierr = VecRestoreArray(opflow->X, &x_nat);
+  CHKERRQ(ierr);
+
+  ierr = VecRestoreArray(Xsol, &xsol_nat);
+  CHKERRQ(ierr);
+
+  std::cout << "  Evaluating Jacobian at IPOPT-converged solution..."
+            << std::endl;
+
+  /* ------------------------------------------------------------------
+   * Compute reference inequality Jacobian via PETSc.
+   * The first call establishes the sparsity pattern, the second
+   * computes the actual values at the converged solution.
+   * ------------------------------------------------------------------ */
+  ierr = (*opflow->modelops.computeinequalityconstraintjacobian)(
+      opflow, opflow->X, opflow->Jac_Gi);
+  CHKERRQ(ierr);
+  ierr = MatSetOption(opflow->Jac_Gi, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE);
+  CHKERRQ(ierr);
+  ierr = (*opflow->modelops.computeinequalityconstraintjacobian)(
+      opflow, opflow->X, opflow->Jac_Gi);
+  CHKERRQ(ierr);
+
+  int nnz = opflow->nnz_ineqjacsp;
+
+  auto &resmgr = umpire::ResourceManager::getInstance();
+  umpire::Allocator h_allocator = resmgr.getAllocator("HOST");
+
+  double *ref_vals =
+      static_cast<double *>(h_allocator.allocate(nnz * sizeof(double)));
+
+  PetscInt nrow, ncol;
+  ierr = MatGetSize(opflow->Jac_Gi, &nrow, &ncol);
+  CHKERRQ(ierr);
+
+  double *vptr = ref_vals;
+  for (int i = 0; i < nrow; i++) {
+    PetscInt nvals;
+    const PetscInt *cols;
+    const PetscScalar *vals;
+    ierr = MatGetRow(opflow->Jac_Gi, i, &nvals, &cols, &vals);
+    CHKERRQ(ierr);
+    for (int j = 0; j < nvals; j++)
+      vptr[j] = vals[j];
+    vptr += nvals;
+    ierr = MatRestoreRow(opflow->Jac_Gi, i, &nvals, &cols, &vals);
+    CHKERRQ(ierr);
+  }
+
+  int ref_count = (int)(vptr - ref_vals);
+  std::cout << "  PETSc extracted " << ref_count << " ineq Jacobian values"
+            << " (expected " << nnz << ")" << std::endl;
+
+  if (ref_count != nnz) {
+    std::cout << "  FAIL: NNZ mismatch! PETSc=" << ref_count
+              << " analytical=" << nnz << std::endl;
+    fail++;
+  }
+
+  /* ------------------------------------------------------------------
+   * Compute GPU inequality Jacobian at the same solution
+   * ------------------------------------------------------------------ */
+  double *x_host;
+  ierr = VecGetArray(opflow->X, &x_host);
+  CHKERRQ(ierr);
+
+  double *x_sd =
+      static_cast<double *>(h_allocator.allocate(nx * sizeof(double)));
+  for (int i = 0; i < nx; i++)
+    x_sd[opflow->idxn2sd_map[i]] = x_host[i];
+
+  ierr = VecRestoreArray(opflow->X, &x_host);
+  CHKERRQ(ierr);
+
+  double *gpu_vals;
+  double *x_dev, *gpu_vals_dev;
+
+#ifdef EXAGO_ENABLE_GPU
+  umpire::Allocator d_allocator = resmgr.getAllocator("DEVICE");
+  x_dev = static_cast<double *>(d_allocator.allocate(nx * sizeof(double)));
+  gpu_vals_dev =
+      static_cast<double *>(d_allocator.allocate(nnz * sizeof(double)));
+  resmgr.memset(gpu_vals_dev, 0, nnz * sizeof(double));
+#else
+  x_dev = x_sd;
+  gpu_vals_dev =
+      static_cast<double *>(h_allocator.allocate(nnz * sizeof(double)));
+  memset(gpu_vals_dev, 0, nnz * sizeof(double));
+#endif
+
+  umpire::util::AllocationRecord rec_x{x_sd, sizeof(double) * nx,
+                                       h_allocator.getAllocationStrategy()};
+  resmgr.registerAllocation(x_sd, rec_x);
+#ifdef EXAGO_ENABLE_GPU
+  resmgr.copy(x_dev, x_sd);
+#endif
+
+  std::cout << "  Running RAJA GPU inequality Jacobian kernel..." << std::endl;
+  ComputeIneqJacValuesGPU_PBPOLRAJAHIOPSPARSE(opflow, x_dev, gpu_vals_dev);
+
+  gpu_vals = static_cast<double *>(h_allocator.allocate(nnz * sizeof(double)));
+#ifdef EXAGO_ENABLE_GPU
+  resmgr.copy(gpu_vals, gpu_vals_dev);
+#else
+  memcpy(gpu_vals, gpu_vals_dev, nnz * sizeof(double));
+#endif
+
+  /* ------------------------------------------------------------------
+   * Compare for correctness
+   * ------------------------------------------------------------------ */
+  std::cout << "  Comparing " << nnz << " inequality Jacobian values..."
+            << std::endl;
+  int cmp_fail = compare_arrays(ref_vals, gpu_vals, nnz, "ineqjac");
+  fail += cmp_fail;
+
+  if (cmp_fail == 0)
+    std::cout << "  PASS: All " << nnz
+              << " inequality Jacobian values match within tol=" << TOL
+              << std::endl;
+  else
+    std::cout << "  FAIL: " << cmp_fail << " of " << nnz << " values differ"
+              << std::endl;
+
+  std::cout << "=== End validation ===" << std::endl;
+
+  /* ------------------------------------------------------------------
+   * Performance comparison
+   * ------------------------------------------------------------------ */
+  {
+    int niters = 1000;
+    PetscInt bench_nrow, bench_ncol;
+    ierr = MatGetSize(opflow->Jac_Gi, &bench_nrow, &bench_ncol);
+    CHKERRQ(ierr);
+
+    double *bench_vals =
+        static_cast<double *>(h_allocator.allocate(nnz * sizeof(double)));
+
+    std::cout << "\n=== Performance benchmark (" << niters
+              << " iterations) ===" << std::endl;
+
+    /* --- PETSc path: compute + MatGetRow extraction + copy to device --- */
+    {
+      double *bench_dev;
+      size_t nnz_bytes = nnz * sizeof(double);
+#ifdef EXAGO_ENABLE_GPU
+      bench_dev = static_cast<double *>(d_allocator.allocate(nnz_bytes));
+#else
+      bench_dev = static_cast<double *>(h_allocator.allocate(nnz_bytes));
+#endif
+
+      auto t0 = std::chrono::high_resolution_clock::now();
+      for (int iter = 0; iter < niters; iter++) {
+        ierr = (*opflow->modelops.computeinequalityconstraintjacobian)(
+            opflow, opflow->X, opflow->Jac_Gi);
+
+        double *vp = bench_vals;
+        for (int i = 0; i < bench_nrow; i++) {
+          PetscInt nv;
+          const PetscInt *c;
+          const PetscScalar *v;
+          MatGetRow(opflow->Jac_Gi, i, &nv, &c, &v);
+          for (int j = 0; j < nv; j++)
+            vp[j] = v[j];
+          vp += nv;
+          MatRestoreRow(opflow->Jac_Gi, i, &nv, &c, &v);
+        }
+#ifdef EXAGO_ENABLE_GPU
+        resmgr.copy(bench_dev, bench_vals);
+#else
+        memcpy(bench_dev, bench_vals, nnz_bytes);
+#endif
+      }
+      auto t1 = std::chrono::high_resolution_clock::now();
+      double petsc_us =
+          std::chrono::duration<double, std::micro>(t1 - t0).count() / niters;
+      std::cout << "  PETSc path (compute + MatGetRow + copy): " << petsc_us
+                << " us/iter" << std::endl;
+
+#ifdef EXAGO_ENABLE_GPU
+      d_allocator.deallocate(bench_dev);
+#else
+      h_allocator.deallocate(bench_dev);
+#endif
+    }
+
+    /* --- PETSc path: CPU compute only --- */
+    {
+      auto t0 = std::chrono::high_resolution_clock::now();
+
+      for (int iter = 0; iter < niters; iter++) {
+        ierr = (*opflow->modelops.computeinequalityconstraintjacobian)(
+            opflow, opflow->X, opflow->Jac_Gi);
+      }
+
+      auto t1 = std::chrono::high_resolution_clock::now();
+
+      double petsc_us =
+          std::chrono::duration<double, std::micro>(t1 - t0).count() / niters;
+      std::cout << "  PETSc path (compute only):               " << petsc_us
+                << " us/iter" << std::endl;
+    }
+
+    /* --- GPU path: RAJA kernels, no copies --- */
+    {
+      double *bench_dev;
+#ifdef EXAGO_ENABLE_GPU
+      bench_dev =
+          static_cast<double *>(d_allocator.allocate(nnz * sizeof(double)));
+#else
+      bench_dev =
+          static_cast<double *>(h_allocator.allocate(nnz * sizeof(double)));
+#endif
+
+#ifdef EXAGO_ENABLE_HIP
+      (void)hipDeviceSynchronize();
+#endif
+      auto t0 = std::chrono::high_resolution_clock::now();
+      for (int iter = 0; iter < niters; iter++) {
+        ComputeIneqJacValuesGPU_PBPOLRAJAHIOPSPARSE(opflow, x_dev, bench_dev);
+      }
+#ifdef EXAGO_ENABLE_HIP
+      (void)hipDeviceSynchronize();
+#endif
+      auto t1 = std::chrono::high_resolution_clock::now();
+      double gpu_us =
+          std::chrono::duration<double, std::micro>(t1 - t0).count() / niters;
+      std::cout << "  GPU path (RAJA kernels, no copies):      " << gpu_us
+                << " us/iter" << std::endl;
+
+#ifdef EXAGO_ENABLE_GPU
+      d_allocator.deallocate(bench_dev);
+#else
+      h_allocator.deallocate(bench_dev);
+#endif
+    }
+
+    h_allocator.deallocate(bench_vals);
+    std::cout << "=== End benchmark ===" << std::endl;
+  }
+
+  /* ------------------------------------------------------------------
+   * Cleanup
+   * ------------------------------------------------------------------ */
+  h_allocator.deallocate(ref_vals);
+  h_allocator.deallocate(gpu_vals);
+  h_allocator.deallocate(x_sd);
+#ifdef EXAGO_ENABLE_GPU
+  d_allocator.deallocate(x_dev);
+  d_allocator.deallocate(gpu_vals_dev);
+#else
+  h_allocator.deallocate(gpu_vals_dev);
+#endif
+
+  ierr = OPFLOWDestroy(&opflow);
+  CHKERRQ(ierr);
+  ierr = OPFLOWDestroy(&opflow_ref);
+  CHKERRQ(ierr);
+  ExaGOFinalize();
+
+  return fail;
+}
diff --git a/tests/unit/pflow/CMakeLists.txt b/tests/unit/pflow/CMakeLists.txt
new file mode 100644
index 00000000..238821f9
--- /dev/null
+++ b/tests/unit/pflow/CMakeLists.txt
@@ -0,0 +1,22 @@
+add_executable(
+  test_pflow test_pflow.cpp
+             ${CMAKE_SOURCE_DIR}/tests/unit/utils/test_acopf_utils.cpp
+)
+target_link_libraries(test_pflow ExaGO::PFLOW)
+target_include_directories(
+  test_pflow PRIVATE ${CMAKE_SOURCE_DIR}/tests/unit/utils
+)
+
+if(EXAGO_RUN_TESTS)
+  exago_add_test(
+    NAME
+    "UNIT_TESTS_PFLOW"
+    COMMAND
+    ${RUNCMD}
+    $<TARGET_FILE:test_pflow>
+    -validation_dir
+    ${CMAKE_SOURCE_DIR}/datafiles/test_validation
+    NETFILES
+    ${network_files}
+  )
+endif()
diff --git a/tests/unit/test_pflow.cpp b/tests/unit/pflow/test_pflow.cpp
similarity index 99%
rename from tests/unit/test_pflow.cpp
rename to tests/unit/pflow/test_pflow.cpp
index 3493d89c..db8ed0e9 100644
--- a/tests/unit/test_pflow.cpp
+++ b/tests/unit/pflow/test_pflow.cpp
@@ -7,7 +7,7 @@
 #include <utils.h>
 
 #include <pflow.h>
-#include "pflow/pflow_tests.h"
+#include "pflow_tests.h"
 #include "test_acopf_utils.h"
 
 //#if defined(EXAGO_ENABLE_RAJA)
diff --git a/tests/unit/ps/CMakeLists.txt b/tests/unit/ps/CMakeLists.txt
index 0f093d4b..b6071ac0 100644
--- a/tests/unit/ps/CMakeLists.txt
+++ b/tests/unit/ps/CMakeLists.txt
@@ -5,7 +5,7 @@ execute_process(
           ${CMAKE_CURRENT_BINARY_DIR}/data
 )
 add_test(
-  NAME psse_parser
+  NAME UNIT_TESTS_PSSE_PARSER
   COMMAND test_psse_parser
   WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/data
 )
diff --git a/tests/unit/utils/test_base.h b/tests/unit/utils/test_base.h
index f03dc5bf..0e2d018c 100644
--- a/tests/unit/utils/test_base.h
+++ b/tests/unit/utils/test_base.h
@@ -35,7 +35,7 @@ static const RealType three = 3.0;
 // static const RealType eps = 10*std::numeric_limits<RealType>::epsilon();
 static const RealType eps = 1e-8;
 
-static const LocalOrdinalType SKIP_TEST = -1;
+static const LocalOrdinalType SKIP_TEST = 2;
 
 /**
   @brief Base class for all testing classes. Each child class will call the